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Gang YU (俞刚)
I am a Research Director at Tencent. My research interests focus on the computer vision and artificical intelligence, specifically on the topic of generative AI, object detection, segmentation, human keypoint, human action recognition, and 3D reconstruction. I obtained PhD from NTU in 2014 supervised by Prof. Junsong Yuan. Before joining Tencent, I worked as a research leader for five years in Megvii (Face++) under the supervision of Dr. Sun Jian.
Google Scholar / CV / Zhihu |
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| Conference |
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Executing your Commands via Motion Diffusion in Latent Space
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STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection
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End-to-End 3D Dense Captioning with Vote2Cap-DETR
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Capturing the motion of every joint: 3D human pose and shape estimation with independent tokens
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SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation
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Hierarchical Normalization for Robust Monocular Depth Estimation |
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Coordinates Are NOT Lonely - Codebook Prior Helps Implicit Neural 3D Representations |
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D&D: Learning Human Dynamics from Dynamic Camera |
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TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation |
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Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification |
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Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation
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State-Aware Tracker for Real-Time Video Object Segmentation |
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High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification |
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Context Prior for Scene Segmentation |
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SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines |
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Learnable Tree Filter for Structure-preserving Feature Transform |
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ThunderNet: Towards Real-time Generic Object Detection |
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Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network |
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Objects365: A Large-scale, High-quality Dataset for Object Detection |
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An End-to-end Network for Panoptic Segmentation |
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TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection |
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Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN |
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Shape Robust Text Detection with Progressive Scale Expansion Network |
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Scene Text Detection with Supervised Pyramid Context Network |
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Attention-based Multi-Context Guiding for Few-Shot Semantic Segmentation
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DetNet: A Backbone network for Object
Detection
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BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
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Associating Inter-Image Salient Instances forWeakly Supervised Semantic Segmentation
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MegDet: A Large Mini-Batch Object Detector |
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Cascaded Pyramid Network for Multi-Person Pose Estimation [Code] |
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Learning a Discriminative Feature Network for Semantic Segmentation |
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R-FCN++: Towards Accurate Region-based Fully Convolutional Networks for Object Detection |
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Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network |
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Fast Action Proposals for Human Action Detection and Search |
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Discriminative Orderlet Mining For Real-time Recognition of Human-Object Interaction [Project]
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Scalable Forest Hashing for Fast Similarity Search
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Propagative Hough Voting for Human Activity Recognition
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Randomized Spatial Partition for Scene Recognition
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Predicting Human Activities using Spatio-Temporal Structure of Interest Points
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Unsupervised Random Forest Indexing for Fast Action Search
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Real-time HumanAction Search using Random Forest based Hough Voting
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| Journal |
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BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation |
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Propagative Hough Voting for Human Activity Detection and Recognition |
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Action Search by Example using Randomized Visual Vocabularies |
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Fast Action Detection via Discriminative Random Forest Voting and Top-K Subvolume Search |
| Book |
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Human Action Analysis with Randomized Trees |
| Pre-prints |
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Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer |
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Rethinking on Multi-Stage Networks for Human Pose Estimation |
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Light-Head R-CNN: In Defense of Two-Stage Object Detector [Code] |
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CrowdHuman: A Benchmark for Detecting Human in a Crowd [Project] |
| Links |
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Team member: Chao Peng (彭超), Zeming Li (黎泽明), Changqian Yu (余昌黔), Shuai Shao (邵帅) |