404 citations · 484 across the 13 of their papers we have counts for
9 papers · 1 filter
VideoMemory: Toward Consistent Video Generation via Memory Integration
Jinsong Zhou, Yihua Du, Xinli Xu +7
Maintaining consistent characters, props, and environments across multiple shots is a central challenge in narrative video generation. Existing models can produce high-quality shor…
Spatiotemporal Transformer for Video-based Person Re-identification
Tianyu Zhang, Longhui Wei, Lingxi Xie +4
Recently, the Transformer module has been transplanted from natural language processing to computer vision. This paper applies the Transformer to video-based person re-identificati…
UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identification
Tianyu Zhang, Lingxi Xie, Longhui Wei +4
The main difficulty of person re-identification (ReID) lies in collecting annotated data and transferring the model across different domains. This paper presents UnrealPerson, a no…
Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition
Haitian Zeng, Haizhou Ai, Zijie Zhuang +1
Learning to predict multiple attributes of a pedestrian is a multi-task learning problem. To share feature representation between two individual task networks, conventional methods…
Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
Long Chen, Haizhou Ai, Rui Chen +2
Estimating 3D poses of multiple humans in real-time is a classic but still challenging task in computer vision. Its major difficulty lies in the ambiguity in cross-view association…
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization
Zijie Zhuang, Longhui Wei, Lingxi Xie +5
The fundamental difficulty in person re-identification (ReID) lies in learning the correspondence among individual cameras. It strongly demands costly inter-camera annotations, yet…
Learning Lightweight Pedestrian Detector with Hierarchical Knowledge Distillation
Rui Chen, Haizhou Ai, Chong Shang +2
It remains very challenging to build a pedestrian detection system for real world applications, which demand for both accuracy and speed. This work presents a novel hierarchical kn…
Cross-Resolution Person Re-identification with Deep Antithetical Learning
Zijie Zhuang, Haizhou Ai, Long Chen +1
Images with different resolutions are ubiquitous in public person re-identification (ReID) datasets and real-world scenes, it is thus crucial for a person ReID model to handle the…
Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification
Long Chen, Haizhou Ai, Zijie Zhuang +1
Online multi-object tracking is a fundamental problem in time-critical video analysis applications. A major challenge in the popular tracking-by-detection framework is how to assoc…