Chunhua Shen
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Computer Science
Chunhua Shen's Degrees
- PhD Computer Science University of Adelaide
- Bachelors Computer Science University of Science and Technology of China
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(Suggest an Edit or Addition)Chunhua Shen'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
- Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation (2015) (863)
- Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs (2015) (517)
- IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information (2020) (415)
- What Value Do Explicit High Level Concepts Have in Vision to Language Problems? (2015) (411)
- DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover’s Distance and Structured Classifiers (2020) (405)
- End-to-End Video Instance Segmentation with Transformers (2020) (399)
- Twins: Revisiting the Design of Spatial Attention in Vision Transformers (2021) (398)
- COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection (2020) (389)
- BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation (2020) (384)
- SOLO: Segmenting Objects by Locations (2019) (383)
- PolarMask: Single Shot Instance Segmentation With Polar Representation (2019) (355)
- Conditional Convolutions for Instance Segmentation (2020) (339)
- Dense Contrastive Learning for Self-Supervised Visual Pre-Training (2020) (337)
- Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources (2015) (331)
- SOLOv2: Dynamic and Fast Instance Segmentation (2020) (313)
- Deep Learning for Anomaly Detection (2020) (293)
- BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation (2020) (286)
- Enforcing Geometric Constraints of Virtual Normal for Depth Prediction (2019) (278)
- Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation (2017) (273)
- Conditional Positional Encodings for Vision Transformers (2021) (214)
- Explicit Knowledge-based Reasoning for Visual Question Answering (2015) (177)
- CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation (2021) (175)
- ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network (2020) (167)
- FCOS: A Simple and Strong Anchor-Free Object Detector (2020) (159)
- Context Prior for Scene Segmentation (2020) (157)
- A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification (2019) (140)
- REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments (2019) (125)
- Graph Attention Tracking (2020) (122)
- Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection (2020) (121)
- Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection (2020) (117)
- Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection (2020) (105)
- Structured Knowledge Distillation for Dense Prediction (2019) (102)
- Deep Clustering With Sample-Assignment Invariance Prior (2019) (91)
- SOLOv2: Dynamic, Faster and Stronger (2020) (87)
- Visual Question Answering with Memory-Augmented Networks (2017) (78)
- Learning to Recover 3D Scene Shape from a Single Image (2020) (76)
- BoxInst: High-Performance Instance Segmentation with Box Annotations (2020) (75)
- Cross-Convolutional-Layer Pooling for Image Recognition (2015) (74)
- TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks (2019) (66)
- Mask Encoding for Single Shot Instance Segmentation (2020) (65)
- Efficient Semantic Video Segmentation with Per-frame Inference (2020) (61)
- Twins: Revisiting Spatial Attention Design in Vision Transformers (2021) (59)
- DoDNet: Learning to Segment Multi-Organ and Tumors from Multiple Partially Labeled Datasets (2020) (57)
- Channel-wise Knowledge Distillation for Dense Prediction* (2020) (57)
- DirectPose: Direct End-to-End Multi-Person Pose Estimation (2019) (54)
- Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition (2021) (52)
- Weighing Counts: Sequential Crowd Counting by Reinforcement Learning (2020) (51)
- Face image classification by pooling raw features (2014) (51)
- TFPose: Direct Human Pose Estimation with Transformers (2021) (49)
- Learning Deep Gradient Descent Optimization for Image Deconvolution (2018) (49)
- Multi-marginal Wasserstein GAN (2019) (48)
- Segmenting Transparent Objects in the Wild (2020) (48)
- Scene Text Image Super-Resolution in the Wild (2020) (47)
- PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text (2021) (47)
- Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising (2019) (46)
- Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes (2020) (45)
- DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning (2020) (45)
- On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering (2020) (43)
- Large-Scale Binary Quadratic Optimization Using Semidefinite Relaxation and Applications (2014) (43)
- Towards End-to-End Car License Plates Detection and Recognition with Deep Neural Networks (2017) (40)
- Training Quantized Neural Networks With a Full-Precision Auxiliary Module (2019) (39)
- SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors (2020) (37)
- A Robust Attentional Framework for License Plate Recognition in the Wild (2020) (37)
- Representative Graph Neural Network (2020) (35)
- Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network (2018) (35)
- DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic Convolution (2020) (34)
- TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation (2022) (32)
- Counting Objects by Blockwise Classification (2020) (32)
- Adversarial Generation of Training Examples: Applications to Moving Vehicle License Plate Recognition (2017) (32)
- ABCNet v2: Adaptive Bezier-Curve Network for Real-Time End-to-End Text Spotting (2021) (31)
- Soft Expert Reward Learning for Vision-and-Language Navigation (2020) (31)
- Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue (2020) (27)
- Ordered or Orderless: A Revisit for Video Based Person Re-Identification (2019) (27)
- Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation (2020) (26)
- Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction (2021) (26)
- Diverse Knowledge Distillation for End-to-End Person Search (2020) (25)
- Deep Weakly-supervised Anomaly Detection (2019) (25)
- DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data (2020) (24)
- Index Networks (2020) (24)
- PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation (2020) (24)
- FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions (2021) (23)
- Part-Guided Attention Learning for Vehicle Instance Retrieval (2019) (23)
- Learning Affinity-Aware Upsampling for Deep Image Matting* (2020) (23)
- Unsupervised Representation Learning by Predicting Random Distances (2019) (23)
- SOLO: A Simple Framework for Instance Segmentation (2021) (22)
- Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild (2020) (21)
- Deep Segmentation-Emendation Model for Gland Instance Segmentation (2019) (19)
- Pairwise Relation Learning for Semi-supervised Gland Segmentation (2020) (19)
- PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining (2022) (19)
- FreeSOLO: Learning to Segment Objects without Annotations (2022) (17)
- To Balance or Not to Balance: A Simple-yet-Effective Approach for Learning with Long-Tailed Distributions (2019) (17)
- Joint Deep Learning of Facial Expression Synthesis and Recognition (2020) (17)
- Multi-Instance Learning With Emerging Novel Class (2021) (16)
- Deep Hashing by Discriminating Hard Examples (2019) (16)
- Kernel-based Tracking from a Probabilistic Viewpoint (2007) (15)
- AQD: Towards Accurate Quantized Object Detection (2020) (15)
- Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks (2019) (15)
- Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning (2021) (15)
- OPMP: An Omnidirectional Pyramid Mask Proposal Network for Arbitrary-Shape Scene Text Detection (2021) (14)
- Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection* (2022) (14)
- Instance and Panoptic Segmentation Using Conditional Convolutions (2021) (14)
- FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation (2021) (12)
- Enhanced Kernel-Based Tracking for Monochromatic and Thermographic Video (2006) (12)
- Occluded Person Re-Identification with Single-scale Global Representations (2021) (12)
- Instance-Aware Embedding for Point Cloud Instance Segmentation (2020) (12)
- Object Detection Made Simpler by Eliminating Heuristic NMS (2021) (11)
- AIML at VQA-Med 2020: Knowledge Inference via a Skeleton-based Sentence Mapping Approach for Medical Domain Visual Question Answering (2020) (11)
- Learning discriminative region representation for person retrieval (2022) (11)
- Unsupervised Feature Learning for Dense Correspondences Across Scenes (2015) (11)
- Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation (2022) (11)
- Structured Binary Neural Networks for Image Recognition (2019) (11)
- Accurate Tensor Completion via Adaptive Low-Rank Representation (2019) (10)
- Deep Reinforcement Learning for Unknown Anomaly Detection (2020) (10)
- End-to-End Video Text Spotting with Transformer (2022) (8)
- Auto-Rectify Network for Unsupervised Indoor Depth Estimation (2020) (8)
- Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images (2022) (8)
- Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text Detection (2019) (8)
- Generic Perceptual Loss for Modeling Structured Output Dependencies (2021) (8)
- Weakly-supervised Deep Anomaly Detection with Pairwise Relation Learning (2019) (8)
- A Simple and Strong Convolutional-Attention Network for Irregular Text Recognition (2019) (8)
- SegViT: Semantic Segmentation with Plain Vision Transformers (2022) (8)
- Auxiliary Learning for Deep Multi-task Learning (2019) (7)
- FATNN: Fast and Accurate Ternary Neural Networks* (2020) (7)
- Heritage image annotation via collective knowledge (2019) (7)
- Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation (2021) (7)
- SPTS: Single-Point Text Spotting (2021) (7)
- Fully Quantized Image Super-Resolution Networks (2020) (7)
- PointAttN: You Only Need Attention for Point Cloud Completion (2022) (7)
- Improving Generative Adversarial Networks With Local Coordinate Coding (2020) (7)
- Robust Watermarking Using Inverse Gradient Attention (2020) (7)
- Human Detection Aided by Deeply Learned Semantic Masks (2020) (6)
- AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting (2020) (6)
- Channel-wise Distillation for Semantic Segmentation (2020) (6)
- The devil is in the labels: Semantic segmentation from sentences (2022) (6)
- SegGPT: Segmenting Everything In Context (2023) (5)
- Towards Accurate Reconstruction of 3D Scene Shape From A Single Monocular Image (2022) (5)
- Deep Reasoning Network for Few-shot Semantic Segmentation (2021) (5)
- DENSE: Data-Free One-Shot Federated Learning (2021) (5)
- Medical Data Inquiry Using a Question Answering Model (2020) (5)
- NAS-FCOS: Efficient Search for Object Detection Architectures (2021) (5)
- TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency (2021) (5)
- BV-Person: A Large-scale Dataset for Bird-view Person Re-identification (2021) (5)
- Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation (2021) (5)
- Images Speak in Images: A Generalist Painter for In-Context Visual Learning (2022) (5)
- Towards Light‐Weight Portrait Matting via Parameter Sharing (2020) (4)
- To Balance or Not to Balance: An Embarrassingly Simple Approach for Learning with Long-Tailed Distributions (2019) (4)
- Plenty is Plague: Fine-Grained Learning for Visual Question Answering (2019) (4)
- Memorizing Comprehensively to Learn Adaptively: Unsupervised Cross-Domain Person Re-ID with Multi-level Memory (2020) (4)
- Arbitrarily shaped scene text detection with dynamic convolution (2022) (3)
- Exploring the Capacity of Sequential-free Box Discretization Network for Omnidirectional Scene Text Detection (2019) (3)
- Improving Monocular Visual Odometry Using Learned Depth (2022) (3)
- Super Vision Transformer (2022) (3)
- SAI: Fast and automated quantification of stomatal parameters on microscope images (2022) (3)
- Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval (2022) (3)
- Towards 3D Scene Reconstruction from Locally Scale-Aligned Monocular Video Depth (2022) (2)
- Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations (2022) (2)
- Real-time End-to-End Video Text Spotter with Contrastive Representation Learning (2022) (2)
- Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration (2021) (2)
- Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions (2020) (2)
- Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization (2022) (2)
- Guest Editorial Introduction to the Special Section on Video and Language (2022) (2)
- From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting (2020) (2)
- Editorial Deep Learning for Anomaly Detection (2022) (2)
- Single-path Bit Sharing for Automatic Loss-aware Model Compression (2021) (1)
- SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes (2022) (1)
- DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models (2023) (1)
- Efficient Decoder-free Object Detection with Transformers (2022) (1)
- Learning from partially labeled data for multi-organ and tumor segmentation (2022) (1)
- NSSNet: Scale-Aware Object Counting With Non-Scale Suppression (2022) (1)
- Scope Head for Accurate Localization in Object Detection (2020) (1)
- A Survey on Efficient Training of Transformers (2023) (1)
- ABS: Automatic Bit Sharing for Model Compression (2021) (1)
- Kernel Agnostic Real-world Image Super-resolution (2021) (0)
- Effective Eyebrow Matting with Domain Adaptation (2022) (0)
- Joint Classification and Regression for Visual Tracking with Fully Convolutional Siamese Networks (2022) (0)
- Supplementary Materials of “BV-Person: A Large-scale Dataset for Bird-view Person Re-identification” (2021) (0)
- Traffic Scene Parsing through the TSP6K Dataset (2023) (0)
- SPTS v2: Single-Point Scene Text Spotting (2023) (0)
- Unified Multifaceted Feature Learning for Person Re-Identification (2019) (0)
- Supplementary Material for Conditional Convolutions for Instance Segmentation (2020) (0)
- Hierarchical Normalization for Robust Monocular Depth Estimation (2022) (0)
- TasselNet: counting maize tassels in the wild via local counts regression network (2017) (0)
- Supplementary Material: FATNN: Fast and Accurate Ternary Neural Networks (2021) (0)
- Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction (2023) (0)
- Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration (2020) (0)
- DenseCL: A simple framework for self-supervised dense visual pre-training (2022) (0)
- Single-shot Instance Segmentation (2020) (0)
- IEEE Circuits and Systems Society (2021) (0)
- Supplementary Materials for AQD: Towards Accurate Quantized Object Detection (2021) (0)
- The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation Supplementary Material (2020) (0)
- Multi-dataset Training of Transformers for Robust Action Recognition (2022) (0)
- TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks (2019) (0)
- Supplementary Document for REVERIE: Remote Embodied Visural Referring Expressions in Real indoor Environments (2020) (0)
- Supplementary Materials for AE TextSpotter (2020) (0)
- 55 94 v 2 [ cs . C V ] 30 S ep 2 01 3 Generic Image Classification Approaches Excel on Face Recogniti n (2014) (0)
- Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild (2021) (0)
- Boosting Monocular Depth Estimation with Sparse Guided Points (2022) (0)
- SAI: an efficient and user-friendly tool for measurement of stomatal pores and density using deep computer vision. (2023) (0)
- Towards Domain-agnostic Depth Completion (2022) (0)
- FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning (2022) (0)
- Training Protocol Matters: Towards Accurate Scene Text Recognition via Training Protocol Searching (2022) (0)
- SOLO: Segmenting Objects by Locations Appendix (2020) (0)
- Background Matters: Enhancing Out-of-distribution Detection with Domain Features (2023) (0)
- Efficient Video Segmentation Models with Per-frame Inference (2022) (0)
- Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models (2023) (0)
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What Schools Are Affiliated With Chunhua Shen?
Chunhua Shen is affiliated with the following schools:
