Jiashi Feng

Jiashi Feng's AcademicInfluence.com Rankings

Jiashi Feng

Engineering

#3078

World Rank

#4102

Historical Rank

Electrical Engineering

#621

World Rank

#683

Historical Rank

engineering Degrees

Jiashi Feng

Computer Science

#4054

World Rank

#4265

Historical Rank

Machine Learning

#683

World Rank

#693

Historical Rank

Database

#1293

World Rank

#1364

Historical Rank

computer-science Degrees

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Engineering
Computer Science

Jiashi Feng's Degrees

Bachelors Electrical Engineering Tsinghua University

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Jiashi Feng's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Return of Frustratingly Easy Domain Adaptation (2015) (1296)
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet (2021) (920)
Coordinate Attention for Efficient Mobile Network Design (2021) (685)
Dual Path Networks (2017) (654)
Scale-Aware Fast R-CNN for Pedestrian Detection (2015) (649)
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach (2017) (620)
Decoupling Representation and Classifier for Long-Tailed Recognition (2019) (607)
Deep Joint Rain Detection and Removal from a Single Image (2016) (605)
Perceptual Generative Adversarial Networks for Small Object Detection (2017) (538)
A Simple Pooling-Based Design for Real-Time Salient Object Detection (2019) (500)
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation (2020) (489)
Natural Language Object Retrieval (2015) (483)
End-to-End Comparative Attention Networks for Person Re-Identification (2016) (468)
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment (2019) (457)
Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm (2018) (442)
Adversarial Complementary Learning for Weakly Supervised Object Localization (2018) (424)
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation (2018) (424)
Few-Shot Object Detection via Feature Reweighting (2018) (405)
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization (2016) (399)
A2-Nets: Double Attention Networks (2018) (375)
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution (2019) (351)
Graph-Based Global Reasoning Networks (2018) (346)
Diversified Visual Attention Networks for Fine-Grained Object Classification (2016) (318)
Semantic Object Parsing with Graph LSTM (2016) (313)
Revisiting Knowledge Distillation via Label Smoothing Regularization (2020) (290)
Online Robust PCA via Stochastic Optimization (2013) (274)
Hi, magic closet, tell me what to wear! (2012) (268)
Structured AutoEncoders for Subspace Clustering (2018) (259)
Correlation Alignment for Unsupervised Domain Adaptation (2016) (258)
Subspace Clustering by Block Diagonal Representation (2018) (241)
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing (2020) (239)
A survey on deep learning-based fine-grained object classification and semantic segmentation (2017) (238)
Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks (2020) (211)
Deep Subspace Clustering with Sparsity Prior (2016) (206)
Distilling Object Detectors With Fine-Grained Feature Imitation (2019) (202)
Robust Facial Landmark Detection via Recurrent Attentive-Refinement Networks (2016) (201)
Multi-Fiber Networks for Video Recognition (2018) (195)
Deep Learning with S-Shaped Rectified Linear Activation Units (2015) (192)
Correlation Adaptive Subspace Segmentation by Trace Lasso (2013) (189)
Fashion Parsing With Weak Color-Category Labels (2014) (182)
Attentive Contexts for Object Detection (2016) (177)
Robust Subspace Segmentation with Block-Diagonal Prior (2014) (176)
Deep Self-Taught Learning for Weakly Supervised Object Localization (2017) (176)
Semantic Object Parsing with Local-Global Long Short-Term Memory (2015) (173)
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms (2020) (168)
Towards Pose Invariant Face Recognition in the Wild (2018) (167)
Geometric ℓp-norm feature pooling for image classification (2011) (166)
Improving Convolutional Networks With Self-Calibrated Convolutions (2020) (166)
Multi-View Image Generation from a Single-View (2017) (160)
Recurrent Face Aging (2016) (159)
Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax (2020) (150)
Video-Based Person Re-Identification With Accumulative Motion Context (2017) (143)
Central Similarity Quantization for Efficient Image and Video Retrieval (2019) (143)
Recurrently Target-Attending Tracking (2016) (143)
PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection (2019) (142)
Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics (2018) (141)
Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution (2016) (139)
Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates (2016) (137)
Neural Person Search Machines (2017) (132)
Deep Adversarial Subspace Clustering (2018) (130)
Single-Stage Multi-Person Pose Machines (2019) (130)
Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis (2017) (129)
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection (2018) (128)
Foreground-Aware Pyramid Reconstruction for Alignment-Free Occluded Person Re-Identification (2019) (120)
Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search (2017) (117)
Robust Logistic Regression and Classification (2014) (116)
Boosting Few-Shot Learning With Adaptive Margin Loss (2020) (115)
Tree-Structured Reinforcement Learning for Sequential Object Localization (2016) (114)
A Focused Dynamic Attention Model for Visual Question Answering (2016) (113)
Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation (2018) (113)
A Unified Alternating Direction Method of Multipliers by Majorization Minimization (2016) (111)
IAN: The Individual Aggregation Network for Person Search (2017) (111)
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing (2018) (110)
Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning (2020) (106)
Regional Interactive Image Segmentation Networks (2017) (103)
Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search (2019) (102)
Policy Optimization with Demonstrations (2018) (100)
Learning Markov Clustering Networks for Scene Text Detection (2018) (99)
Video Scene Parsing with Predictive Feature Learning (2016) (96)
Subcategory-Aware Object Classification (2013) (96)
Zigzag Learning for Weakly Supervised Object Detection (2018) (95)
Robust LSTM-Autoencoders for Face De-Occlusion in the Wild (2016) (95)
MoNet: Deep Motion Exploitation for Video Object Segmentation (2018) (95)
Deep Clustering With Sample-Assignment Invariance Prior (2019) (91)
Attention-Aware Deep Adversarial Hashing for Cross-Modal Retrieval (2017) (89)
Few-Shot Adaptive Faster R-CNN (2019) (85)
The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation (2020) (83)
On Robustness of Neural Ordinary Differential Equations (2019) (83)
Source Data-Absent Unsupervised Domain Adaptation Through Hypothesis Transfer and Labeling Transfer (2020) (83)
Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks (2017) (83)
PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer (2019) (80)
Outlier-Robust Tensor PCA (2017) (80)
Interpretable Structure-Evolving LSTM (2017) (80)
ConvBERT: Improving BERT with Span-based Dynamic Convolution (2020) (80)
3D-Aided Dual-Agent GANs for Unconstrained Face Recognition (2019) (79)
Auxiliary Image Regularization for Deep CNNs with Noisy Labels (2015) (79)
Rethinking Bottleneck Structure for Efficient Mobile Network Design (2020) (78)
ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning (2020) (76)
Left-Right Comparative Recurrent Model for Stereo Matching (2018) (75)
Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization (2019) (75)
Modality-Dependent Cross-Media Retrieval (2015) (75)
Human Pose Estimation with Parsing Induced Learner (2018) (75)
Predicting Scene Parsing and Motion Dynamics in the Future (2017) (71)
Revisit Knowledge Distillation: a Teacher-free Framework (2019) (70)
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements (2018) (70)
Efficient Meta Learning via Minibatch Proximal Update (2019) (68)
Learning the Structure of Deep Convolutional Networks (2015) (67)
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition (2018) (67)
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation (2020) (62)
Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods (2016) (62)
Query-efficient Meta Attack to Deep Neural Networks (2019) (59)
Reversible Recursive Instance-Level Object Segmentation (2015) (59)
Domain Adaptation with Auxiliary Target Domain-Oriented Classifier (2020) (59)
Frame-Consistent Recurrent Video Deraining With Dual-Level Flow (2019) (57)
Self-Supervised Neural Aggregation Networks for Human Parsing (2017) (57)
Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction (2018) (56)
Deep Subspace Clustering (2020) (56)
Tensor Low-Rank Representation for Data Recovery and Clustering (2019) (55)
Deep Salient Object Detection With Dense Connections and Distraction Diagnosis (2018) (54)
Linear Distance Coding for Image Classification (2013) (53)
Pose Partition Networks for Multi-person Pose Estimation (2018) (53)
3D-Aided Deep Pose-Invariant Face Recognition (2018) (53)
Beyond Object Proposals: Random Crop Pooling for Multi-Label Image Recognition (2016) (52)
Improving Generalization in Reinforcement Learning with Mixture Regularization (2020) (51)
Deep Recurrent Regression for Facial Landmark Detection (2015) (51)
Video super-resolution based on spatial-temporal recurrent residual networks (2017) (50)
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing (2019) (48)
3D Face Reconstruction From A Single Image Assisted by 2D Face Images in the Wild (2019) (47)
FoveaNet: Perspective-Aware Urban Scene Parsing (2017) (47)
Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark Detection (2017) (46)
Multiple-Human Parsing in the Wild (2017) (46)
Happiness level prediction with sequential inputs via multiple regressions (2016) (46)
Distributed Robust Learning (2014) (44)
Dynamic Feature Fusion for Semantic Edge Detection (2019) (44)
Training Group Orthogonal Neural Networks with Privileged Information (2017) (43)
Online PCA for Contaminated Data (2013) (43)
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds (2018) (42)
Weakly Supervised Phrase Localization with Multi-scale Anchored Transformer Network (2018) (42)
Dynamic Conditional Networks for Few-Shot Learning (2018) (41)
Cascade Subspace Clustering (2017) (41)
ℓ ^0 ℓ 0 -Sparse Subspace Clustering (2016) (40)
Hierarchical Contextual Refinement Networks for Human Pose Estimation (2019) (40)
Multi-Prototype Networks for Unconstrained Set-based Face Recognition (2019) (40)
Multistage Object Detection With Group Recursive Learning (2016) (39)
Zero-Shot Learning via Attribute Regression and Class Prototype Rectification (2018) (39)
Understanding Generalization and Optimization Performance of Deep CNNs (2018) (38)
Dynamic Kernel Distillation for Efficient Pose Estimation in Videos (2019) (38)
Joint Rain Detection and Removal via Iterative Region Dependent Multi-Task Learning (2016) (38)
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up (2020) (37)
Robust PCA in High-dimension: A Deterministic Approach (2012) (37)
Know You at One Glance: A Compact Vector Representation for Low-Shot Learning (2017) (37)
Multimodal Learning and Reasoning for Visual Question Answering (2017) (36)
Human Facial Age Estimation by Cost-Sensitive Label Ranking and Trace Norm Regularization (2017) (35)
Predicting Alzheimer’s disease progression using deep recurrent neural networks (2019) (35)
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition (2020) (34)
Efficient Stochastic Gradient Hard Thresholding (2018) (33)
Finding any Waldo with zero-shot invariant and efficient visual search (2018) (33)
Robust Face Recognition with Deep Multi-View Representation Learning (2016) (33)
Multi-Path Feedback Recurrent Neural Networks for Scene Parsing (2016) (32)
Learning with Rethinking: Recurrently Improving Convolutional Neural Networks through Feedback (2017) (30)
Modeling Alzheimer’s disease progression using deep recurrent neural networks (2018) (30)
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning (2021) (30)
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection (2020) (30)
Effective Training Strategies for Deep Graph Neural Networks (2020) (29)
Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks (2018) (28)
Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms (2016) (28)
Meta-matching as a simple framework to translate phenotypic predictive models from big to small data (2020) (28)
Scale-Aware Pixelwise Object Proposal Networks (2016) (27)
Transferable Semi-supervised Semantic Segmentation (2017) (27)
A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion (2017) (27)
Predicting Alzheimer’s disease progression using deep recurrent neural networks✩ (2020) (27)
Highway Vehicle Counting in Compressed Domain (2016) (26)
Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning (2019) (26)
Dual Adversarial Autoencoders for Clustering (2020) (26)
Cross-domain Human Parsing via Adversarial Feature and Label Adaptation (2018) (26)
Transferable Meta Learning Across Domains (2018) (26)
Online Meta Adaptation for Fast Video Object Segmentation (2020) (25)
Towards Age-Invariant Face Recognition (2020) (25)
The Landscape of Deep Learning Algorithms (2017) (24)
DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks (2016) (24)
RC-DARTS: Resource Constrained Differentiable Architecture Search (2019) (24)
Segmentation over Detection by Coupled Global and Local Sparse Representations (2012) (23)
Deep Attribute-preserving Metric Learning for Natural Language Object Retrieval (2017) (23)
Don't ask me what i'm like, just watch and listen (2012) (22)
MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input (2019) (22)
Unsupervised Video Summarization With Cycle-Consistent Adversarial LSTM Networks (2020) (22)
Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence? (2018) (22)
Seeing Human Weight from a Single RGB-D Image (2014) (21)
Hi, magic closet, tell me what to wear! (2012) (21)
Landmark Free Face Attribute Prediction (2018) (21)
Recurrent Face Aging with Hierarchical AutoRegressive Memory (2019) (21)
Learning to rank tags (2010) (21)
Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation (2020) (21)
PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction (2019) (20)
Learning Detection with Diverse Proposals (2017) (20)
Online Robust Low-Rank Tensor Modeling for Streaming Data Analysis (2019) (20)
Deep Sparse Subspace Clustering (2017) (20)
ML-LocNet: Improving Object Localization with Multi-view Learning Network (2018) (20)
HashGAN: Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval (2017) (19)
Accelerated Stochastic Mirror Descent Algorithms For Composite Non-strongly Convex Optimization (2016) (19)
New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity (2018) (18)
DANCE : A Deep Attentive Contour Model for Efficient Instance Segmentation (2021) (18)
Learning Scalable Discriminative Dictionary with Sample Relatedness (2014) (18)
Empirical Risk Landscape Analysis for Understanding Deep Neural Networks (2018) (18)
Adaptive ROI Generation for Video Object Segmentation Using Reinforcement Learning (2019) (17)
Hyperparameter Optimization of Deep Neural Networks Using Non-Probabilistic RBF Surrogate Model (2016) (17)
Efficient Differentiable Neural Architecture Search with Meta Kernels (2019) (17)
Multi-class learning from class proportions (2013) (17)
Generative Partition Networks for Multi-Person Pose Estimation (2017) (17)
Do Deep Neural Networks Outperform Kernel Regression for Functional Connectivity Prediction of Behavior? (2018) (16)
Marginalized CNN: Learning Deep Invariant Representations (2017) (16)
Recognizing Profile Faces by Imagining Frontal View (2019) (16)
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts (2020) (16)
Object Relation Detection Based on One-shot Learning (2018) (16)
High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval (2017) (16)
Heterogeneous Domain Adaptation via Covariance Structured Feature Translators (2019) (16)
Collaborative Layer-Wise Discriminative Learning in Deep Neural Networks (2016) (15)
Toward a Comprehensive Face Detector in the Wild (2019) (15)
Anticipating Where People will Look Using Adversarial Networks (2019) (14)
Deep multi-person kinship matching and recognition for family photos (2020) (14)
Towards Real World Human Parsing: Multiple-Human Parsing in the Wild (2017) (14)
Histogram Contextualization (2012) (14)
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection (2021) (14)
Weaving Multi-scale Context for Single Shot Detector (2017) (14)
Compressed-Domain Highway Vehicle Counting by Spatial and Temporal Regression (2019) (14)
Collaborative Linear Coding for Robust Image Classification (2015) (14)
Cross-Layer Feature Pyramid Network for Salient Object Detection (2020) (14)
Variational Prototype Replays for Continual Learning (2019) (13)
Prototype Reminding for Continual Learning (2019) (13)
ORDNet: Capturing Omni-Range Dependencies for Scene Parsing (2020) (13)
Deep Reasoning with Multi-scale Context for Salient Object Detection (2019) (13)
Classification Calibration for Long-tail Instance Segmentation (2019) (13)
Auto-generation of professional background music for home-made videos (2010) (13)
Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis (2017) (13)
Cross-Resolution Face Recognition via Prior-Aided Face Hallucination and Residual Knowledge Distillation (2019) (13)
Integrated Face Analytics Networks through Cross-Dataset Hybrid Training (2017) (13)
Image Classification via Object-Aware Holistic Superpixel Selection (2013) (12)
Visual Relationship Detection With Visual-Linguistic Knowledge From Multimodal Representations (2020) (12)
Deep Q-Networks for Accelerating the Training of Deep Neural Networks (2016) (12)
Unsupervised Image Noise Modeling with Self-Consistent GAN (2019) (12)
Deep Face Recognition Model Compression via Knowledge Transfer and Distillation (2019) (12)
Estimation of Affective Level in the Wild with Multiple Memory Networks (2017) (12)
Personalized and Occupational-aware Age Progression by Generative Adversarial Networks (2017) (12)
Learning to Localize Objects with Noisy Labeled Instances (2019) (11)
Similarity R-C3D for Few-shot Temporal Activity Detection (2018) (11)
Fine-Grained Multi-human Parsing (2019) (11)
Task Relation Networks (2019) (11)
Dual Low-Rank Pursuit: Learning Salient Features for Saliency Detection (2016) (11)
Multi-Human Parsing Machines (2018) (11)
Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization (2016) (10)
A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models (2017) (10)
Zoom in to where it matters: a hierarchical graph based model for mammogram analysis (2019) (10)
Ensemble Robustness of Deep Learning Algorithms (2016) (10)
Looking Inside Category: Subcategory-Aware Object Recognition (2015) (10)
PANDA: Prototypical Unsupervised Domain Adaptation (2020) (9)
Purposive Hidden-Object-Game: Embedding Human Computation in Popular Game (2011) (9)
Online compressed robust PCA (2017) (9)
Improving Bottom-up Saliency Detection by Looking into Neighbors (2013) (9)
Few-shot Classification via Adaptive Attention (2020) (9)
MetaFormer Baselines for Vision (2022) (9)
Co-saliency Detection with Graph Matching (2019) (9)
Anytime Recognition with Routing Convolutional Networks (2019) (9)
3D-Assisted Coarse-to-Fine Extreme-Pose Facial Landmark Detection (2017) (9)
Sharing Residual Units Through Collective Tensor Factorization in Deep Neural Networks (2017) (8)
Towards Accurate Human Pose Estimation in Videos of Crowded Scenes (2020) (8)
Distilling Reverse-Mode Automatic Differentiation (DrMAD) for Optimizing Hyperparameters of Deep Neural Networks (2016) (8)
Annotation modification for fine-grained visual recognition (2018) (8)
Temporal Spiking Recurrent Neural Network for Action Recognition (2019) (8)
Better Guider Predicts Future Better: Difference Guided Generative Adversarial Networks (2018) (8)
Generative Attention Model with Adversarial Self-learning for Visual Question Answering (2017) (8)
PSGAN: Pose-Robust Spatial-Aware GAN for Customizable Makeup Transfer (2019) (7)
Panoptic Edge Detection (2019) (7)
Neural Epitome Search for Architecture-Agnostic Network Compression (2019) (7)
WSNet: Compact and Efficient Networks Through Weight Sampling (2018) (7)
Online Robust Low-Rank Tensor Learning (2017) (7)
Outlier Robust Online Learning (2017) (7)
Deep Interactive Thin Object Selection (2021) (7)
Stochastic Primal-Dual Proximal ExtraGradient descent for compositely regularized optimization (2017) (6)
Self-explanatory Deep Salient Object Detection (2017) (6)
A Live Face Swapper (2016) (6)
-Sparse Subspace Clustering (2016) (6)
Auto-Grouped Sparse Representation for Visual Analysis (2012) (6)
Towards a universal detector by mining concepts with small semantic gaps (2010) (5)
Central Similarity Hashing via Hadamard matrix (2019) (5)
Photo to Family Tree: Deep Kinship Understanding for Nuclear Family Photos (2018) (5)
Clinicopathologic characteristics and surgical treatment of solid pseudopapillary tumor of the pancreas. (2013) (5)
Robust Visual Object Tracking with Top-down Reasoning (2017) (5)
Compressed Video Action Recognition with Refined Motion Vector (2019) (5)
Deep Learning for Multimedia: Science or Technology? (2018) (5)
Subspace Learning by $$\ell ^{0}$$ℓ0-Induced Sparsity (2018) (5)
Dual Low-Rank Pursuit: Learning Salient Features for Saliency Detection (2016) (5)
Segment an image by looking into an image corpus (2011) (5)
Image segmentation with patch-pair density priors (2010) (4)
Egocentric Spatial Memory (2018) (4)
Delving into 3D Action Anticipation from Streaming Videos (2019) (4)
Toward Accurate Person-level Action Recognition in Videos of Crowed Scenes (2020) (4)
On the Suboptimality of Proximal Gradient Descent for $\ell^{0}$ Sparse Approximation (2017) (4)
Denser Trajectories of Anchor Points for Action Recognition (2018) (4)
Hierarchical Meta Learning (2019) (4)
Sense Beyond Expressions: Cuteness (2015) (4)
Finding any Waldo with zero-shot invariant and efficient visual search (2018) (3)
Lift-the-Flap: Context Reasoning Using Object-Centered Graphs (2019) (3)
Deep spatio-frequency saliency detection (2020) (3)
A Simple Baseline for Pose Tracking in Videos of Crowed Scenes (2020) (3)
The Devil is in Classification: A Simple Framework for Long-tail Object Detection and Instance Segmentation (2020) (3)
What am I searching for? (2018) (2)
Deep Reinforcement Learning for Accelerating the Convergence Rate (2016) (2)
Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric (2019) (2)
Deep Model Compression via Filter Auto-sampling (2019) (2)
Comparative transcriptome analysis of the gills and hepatopancreas from Macrobrachium rosenbergii exposed to the heavy metal Cadmium (Cd 2+ ) (2021) (2)
Adversarial images for the primate brain (2020) (2)
PML-LocNet: Improving Object Localization With Prior-Induced Multi-View Learning Network (2020) (2)
WSNet: Compact and Efficient Networks with Weight Sampling (2017) (2)
RAIN: A Simple Approach for Robust and Accurate Image Classification Networks (2020) (2)
On Fundamental Limits of Robust Learning (2017) (2)
Generalized Majorization-Minimization for Non-Convex Optimization (2019) (2)
Discriminative Similarity for Clustering and Semi-Supervised Learning (2017) (2)
Local Grid Rendering Networks for 3D Object Detection in Point Clouds (2020) (1)
RVL-BERT: Visual Relationship Detection with Visual-Linguistic Knowledge from Pre-trained Representations (2020) (1)
Dual Adversarial Auto-Encoders for Clustering (2020) (1)
Sample Efficient Deep Neuroevolution in Low Dimensional Latent Space (2018) (1)
Autogrouped Sparse Representation for Visual Analysis (2014) (1)
ManiCLIP: Multi-Attribute Face Manipulation from Text (2022) (1)
Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation (2020) (1)
Purposive hidden-object game (P-HOG) towards imperceptible human computation (2011) (1)
Learning $\ell^{0}$-Graph for Data Clustering. (2015) (1)
Controversies in the Facial Inversion Effect: Face Specificity and Expertise (2014) (1)
Deep Motion Exploitation for Video Object Segmentation (1)
Combating Domain Shift with Self-Taught Labeling (2020) (1)
Enhancing in vivo nose cancer detection with rapid fiberoptic Raman and deep learning techniques (Conference Presentation) (2020) (1)
Central Similarity Hashing for Efficient Image and Video Retrieval (2019) (0)
Hierarchic Neighbors Embedding (2019) (0)
Online Robust PCA via Stochastic Optimization Supplementary Material (2013) (0)
Deep learning-based fiberoptic Raman spectroscopy improves in vivo diagnosis of nasopharyngeal carcinoma at endoscopy (Conference Presentation) (2020) (0)
STOCHASTIC DEEP LEARNING ALGORITHMS (2018) (0)
WSNet: Learning Compact and Efficient Networks with Weight Sampling (2018) (0)
Temporally Refined Graph U-Nets for Human Shape and Pose Estimation From Monocular Videos (2020) (0)
C V ] 2 9 O ct 2 01 9 Joint COCO and Mapillary Workshop at ICCV 2019 : LVIS Challenge Track Technical Report : Classification Calibration for Long-tail Instance Segmentation (2019) (0)
TaskVisual Search Task ? ? ? ? ? (2018) (0)
Controversies in the Facial Inversion Effect: Face Specificity and Expertise (2014) (0)
Learning with $\ell^{0}$-Graph: $\ell^{0}$-Induced Sparse Subspace Clustering (2015) (0)
DOAD: Decoupled One Stage Action Detection Network (2023) (0)
A survey on deep learning-based fine-grained object classification and semantic segmentation (2017) (0)
Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge Transferring (2023) (0)
Fine-Grained Multi-human Parsing (2019) (0)
Prototype Recalls for Continual Learning (2019) (0)
Learning ℓ0-Graph for Data Clustering (2015) (0)
Learning Detection with Diverse Proposals Supplementary Material (2017) (0)
Global Knowledge Calibration for Fast Open-Vocabulary Segmentation (2023) (0)
Temporal Perceiving Video-Language Pre-training (2023) (0)
Collaborative Linear Coding for Robust Image Classification (2014) (0)
Seeing Human Weight from a Single RGB-D Image (2014) (0)
PROTOTYPE-ASSISTED ADVERSARIAL LEARNING FOR UNSUPERVISED DOMAIN ADAPTATION (2019) (0)
Landmark Free Face Attribute Prediction Geometric Transformation Learning in Face Attribute Prediction (2018) (0)
Online PCA for Contaminated Data Supplementary Material (2013) (0)
Hyperparameter Transfer Learning through Surrogate Alignment for Efficient Deep Neural Network Training (2016) (0)
Supplementary Material : Natural Language Object Retrieval (2016) (0)
RAIN: Robust and Accurate Classification Networks with Randomization and Enhancement (2020) (0)
Recognizing Profile Faces by Imagining Frontal View (2019) (0)
Video Scene Parsing with Predictive Feature Learning : — Supplementary Material — (2017) (0)
Associating Spatially-Consistent Grouping with Text-supervised Semantic Segmentation (2023) (0)
Class Prototype-based Cleaner for Label Noise Learning (2022) (0)
Token Selection is a Simple Booster for Vision Transformers. (2022) (0)
Slim Scissors: Segmenting Thin Object from Synthetic Background (2022) (0)
N EURAL E PITOME S EARCH FOR A RCHITECTURE-A GNOSTIC N ETWORK C OMPRESSION (2020) (0)
Egocentric Spatial Memory Network (2018) (0)
Materials for Regional Interactive Segmentation Networks (2017) (0)
BoxFlow: Unsupervised Face Detector Adaptation from Images to Videos (2017) (0)
Supplementary File for Efficient Meta Learning via Minibatch Proximal Update (2019) (0)
Understanding Generalization and Optimization Performance for Deep CNNs ( Supplementary File ) (2018) (0)
Weight tensor : θ Input : F Output : G Input : F Output : G Weight tensor : θ τ ( E ) Convolution Convolution Compression (2020) (0)
Neighborhood Regularized l^1-Graph (2017) (0)
Deep Interactive Thin Object Selection (Supplementary Material) (2020) (0)
Learning Pixel-wise Labeling from the Internet without Human Interaction (2018) (0)
Interpreting Deep Classification Models With Bayesian Inference (2018) (0)
Perception Preserving Projections (2013) (0)
Subspace Learning by ℓ0\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ell ^{0}$$\end{document}-Induced Sparsity (2018) (0)
Few-shot adaptive Faster R-CNN — Supplementary Material (2019) (0)
A Unified Framework for Stochastic Matrix Factorization via Variance Reduction (2017) (0)

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