Junjie Yan
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Junjie Yancomputer-science Degrees
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Computer Science
Junjie Yan's Degrees
- PhD Computer Science University of Science and Technology of China
- Masters Computer Science University of Science and Technology of China
- Bachelors Computer Science University of Science and Technology of China
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Why Is Junjie Yan Influential?
(Suggest an Edit or Addition)Junjie Yan'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
- High Performance Visual Tracking with Siamese Region Proposal Network (2018) (1521)
- SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks (2018) (1106)
- Distractor-aware Siamese Networks for Visual Object Tracking (2018) (802)
- Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion (2017) (753)
- A face antispoofing database with diverse attacks (2012) (606)
- Salient Color Names for Person Re-identification (2014) (509)
- High-fidelity Pose and Expression Normalization for face recognition in the wild (2015) (507)
- Practical Block-Wise Neural Network Architecture Generation (2017) (434)
- HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis (2017) (412)
- FOTS: Fast Oriented Text Spotting with a Unified Network (2018) (395)
- T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos (2016) (373)
- POI: Multiple Object Tracking with High Performance Detection and Appearance Feature (2016) (353)
- Aggregate channel features for multi-view face detection (2014) (310)
- Quality Aware Network for Set to Set Recognition (2017) (290)
- Convolutional Channel Features (2015) (289)
- Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification (2017) (286)
- Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks (2019) (274)
- Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift (2018) (274)
- The Fastest Deformable Part Model for Object Detection (2014) (273)
- STM: SpatioTemporal and Motion Encoding for Action Recognition (2019) (271)
- End-to-End Flow Correlation Tracking with Spatial-Temporal Attention (2017) (237)
- Grid R-CNN (2018) (222)
- Mimicking Very Efficient Network for Object Detection (2017) (222)
- Equalization Loss for Long-Tailed Object Recognition (2020) (218)
- Joint Training of Cascaded CNN for Face Detection (2016) (191)
- Robust Multi-resolution Pedestrian Detection in Traffic Scenes (2013) (186)
- CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval (2019) (182)
- Competition on counter measures to 2-D facial spoofing attacks (2011) (174)
- Face detection by structural models (2014) (173)
- Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph (2014) (170)
- Object Detection in Videos with Tubelet Proposal Networks (2017) (162)
- Fully Motion-Aware Network for Video Object Detection (2018) (143)
- Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm (2021) (143)
- Dynamic Curriculum Learning for Imbalanced Data Classification (2019) (139)
- Learn to Combine Multiple Hypotheses for Accurate Face Alignment (2013) (136)
- Exploring Disentangled Feature Representation Beyond Face Identification (2018) (133)
- FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis (2018) (131)
- Eliminating Background-bias for Robust Person Re-identification (2018) (128)
- Crafting GBD-Net for Object Detection (2016) (124)
- Practical Network Blocks Design with Q-Learning (2017) (119)
- Gated Bi-directional CNN for Object Detection (2016) (116)
- Fully Quantized Network for Object Detection (2019) (110)
- CRAFT Objects from Images (2016) (110)
- Water Filling: Unsupervised People Counting via Vertical Kinect Sensor (2012) (108)
- Jointly Learning Deep Features, Deformable Parts, Occlusion and Classification for Pedestrian Detection (2018) (106)
- Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification (2019) (105)
- Adaptive Dilated Network With Self-Correction Supervision for Counting (2020) (102)
- DMCP: Differentiable Markov Channel Pruning for Neural Networks (2020) (96)
- Face liveness detection by exploring multiple scenic clues (2012) (96)
- Object detection by labeling superpixels (2015) (93)
- DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks (2017) (93)
- Knowledge Distillation via Route Constrained Optimization (2019) (91)
- Scale-Aware Face Detection (2017) (89)
- Learning to Cluster Faces on an Affinity Graph (2019) (87)
- Peephole: Predicting Network Performance Before Training (2017) (83)
- Recurrent Scale Approximation for Object Detection in CNN (2017) (83)
- Temporal Context Aggregation Network for Temporal Action Proposal Refinement (2021) (83)
- Localization Guided Learning for Pedestrian Attribute Recognition (2018) (82)
- Geometry Uncertainty Projection Network for Monocular 3D Object Detection (2021) (77)
- Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (2018) (76)
- Video Generation From Single Semantic Label Map (2019) (76)
- Towards Unified INT8 Training for Convolutional Neural Network (2019) (75)
- Quantization Mimic: Towards Very Tiny CNN for Object Detection (2018) (74)
- CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations (2020) (74)
- BlockQNN: Efficient Block-Wise Neural Network Architecture Generation (2018) (73)
- PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images (2022) (68)
- BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation (2020) (66)
- Improving One-Shot NAS by Suppressing the Posterior Fading (2019) (64)
- cosFormer: Rethinking Softmax in Attention (2022) (60)
- AM-LFS: AutoML for Loss Function Search (2019) (59)
- Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition (2018) (57)
- Fine-grained evaluation on face detection in the wild (2015) (55)
- Discriminative 3D morphable model fitting (2015) (54)
- Online Hyper-Parameter Learning for Auto-Augmentation Strategy (2019) (54)
- Class-wise Dynamic Graph Convolution for Semantic Segmentation (2020) (52)
- Multi-pedestrian detection in crowded scenes: A global view (2012) (49)
- Learning Statistical Texture for Semantic Segmentation (2021) (47)
- Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection (2019) (43)
- COCAS: A Large-Scale Clothes Changing Person Dataset for Re-Identification (2020) (42)
- GLiT: Neural Architecture Search for Global and Local Image Transformer (2021) (41)
- Dynamic Recursive Neural Network (2019) (36)
- Impression Network for Video Object Detection (2017) (36)
- Real-time high performance deformable model for face detection in the wild (2013) (34)
- Accelerated Training for Massive Classification via Dynamic Class Selection (2018) (34)
- IRLAS: Inverse Reinforcement Learning for Architecture Search (2018) (33)
- Beyond Trade-Off: Accelerate FCN-Based Face Detector with Higher Accuracy (2018) (32)
- Computation Reallocation for Object Detection (2019) (32)
- WIDER Face and Pedestrian Challenge 2018: Methods and Results (2019) (31)
- Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization (2020) (30)
- Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix (2019) (29)
- Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels (2020) (29)
- Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition (2020) (28)
- R³ Adversarial Network for Cross Model Face Recognition (2019) (27)
- P2SGrad: Refined Gradients for Optimizing Deep Face Models (2019) (25)
- MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection (2020) (20)
- Synaptic Strength For Convolutional Neural Network (2018) (20)
- Convolutional Channel Features For Pedestrian, Face and Edge Detection (2015) (19)
- Objectness-aware Semantic Segmentation (2016) (19)
- BN-NAS: Neural Architecture Search with Batch Normalization (2021) (19)
- Improving Auto-Augment via Augmentation-Wise Weight Sharing (2020) (19)
- 1st Place Solutions for OpenImage2019 - Object Detection and Instance Segmentation (2020) (18)
- Structural models for face detection (2013) (16)
- POD: Practical Object Detection With Scale-Sensitive Network (2019) (16)
- Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search (2020) (16)
- GAIA: A Transfer Learning System of Object Detection that Fits Your Needs (2021) (16)
- PSViT: Better Vision Transformer via Token Pooling and Attention Sharing (2021) (15)
- INTERN: A New Learning Paradigm Towards General Vision (2021) (15)
- MQBench: Towards Reproducible and Deployable Model Quantization Benchmark (2021) (15)
- An Embarrassingly Simple Approach for Knowledge Distillation (2018) (15)
- Inception Convolution with Efficient Dilation Search (2020) (15)
- Towards incremental and large scale face recognition (2011) (14)
- Cross-dataset Training for Class Increasing Object Detection (2020) (13)
- Towards Flops-Constrained Face Recognition (2019) (12)
- SSN3D: Self-Separated Network to Align Parts for 3D Convolution in Video Person Re-Identification (2021) (11)
- DETR for Pedestrian Detection (2020) (11)
- Factorized Attention: Self-Attention with Linear Complexities (2018) (10)
- Powering One-shot Topological NAS with Stabilized Share-parameter Proxy (2020) (10)
- Context-Aware Graph Convolution Network for Target Re-identification (2020) (10)
- Stacked Deformable Part Model with Shape Regression for Object Part Localization (2014) (9)
- Grid R-CNN Plus: Faster and Better (2019) (8)
- Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition (2020) (7)
- PV-NAS: Practical Neural Architecture Search for Video Recognition (2020) (7)
- Once Quantized for All: Progressively Searching for Quantized Efficient Models (2020) (6)
- Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework (2019) (4)
- Cross Modal Transformer via Coordinates Encoding for 3D Object Dectection (2023) (4)
- Diving into Optimization of Topology in Neural Networks (2019) (4)
- AutoSampling: Search for Effective Data Sampling Schedules (2021) (3)
- Real-Time Visual Object Tracking via Few-Shot Learning (2021) (2)
- PRUNING WITH HINTS: AN EFFICIENT FRAMEWORK FOR MODEL ACCELERATION (2018) (2)
- Deep Domain Knowledge Distillation for Person Re-identification (2019) (1)
- Efficient Transfer Learning via Joint Adaptation of Network Architecture and Weight (2021) (1)
- Learning Connectivity of Neural Networks from a Topological Perspective (2020) (1)
- Dynamic Multi-path Neural Network (2019) (1)
- Convolutional Channel Features: Tailoring CNN to Diverse Tasks (2015) (1)
- Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks (2020) (1)
- Equalization Loss for Large Vocabulary Instance Segmentation (2019) (1)
- Top-1 Solution of Multi-Moments in Time Challenge 2019 (2020) (1)
- Inter-class Discrepancy Alignment for Face Recognition (2021) (1)
- Context-aware Dynamic Block (2019) (1)
- Adaptive Structural Model for Video Based Pedestrian Detection (2014) (1)
- Supplementary Material: Towards Unified INT8 Training for Convolutional Neural Network (2020) (0)
- I MPROVING O NE - SHOT NAS BY S UPPRESSING THE P OSTERIOR F ADING (2022) (0)
- LAW: Learning to Auto Weight (2019) (0)
- Companion Guided Soft Margin for Face Recognition (2020) (0)
- Higher Performance Visual Tracking with Dual-Modal Localization (2021) (0)
- Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020 (2020) (0)
- C OMPUTATION R EALLOCATION FOR O BJECT D ETECTION (2022) (0)
- Adaptive Gradient Method with Resilience and Momentum (2020) (0)
- Cross Modal Transformer: Towards Fast and Robust 3D Object Detection (2023) (0)
- One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data (2021) (0)
- Data Reduction Methods of Audio Signals for Embedded Sound Event Recognition (2020) (0)
- Team Efficient Multi-Moments in Time Challenge 2019 Technical Report (2019) (0)
- Supplementary Material for ADSCNet (2020) (0)
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