79 citations · 123 across the 9 of their papers we have counts for
9 papers
A Multi-Modal Framework with Cross-Subject Pseudo-Labeling and Semantic Alignment for Micro-Gesture Recognition
Haoran Zhang, Haokun Zhang, Pengyu Liu +3
Micro-gestures (MGs) are spontaneous and subtle body movements that frequently convey hidden human emotions. Recognizing MGs in untrimmed videos remains highly challenging due to t…
ProPy: Building Interactive Prompt Pyramids upon CLIP for Partially Relevant Video Retrieval
Yi Pan, Yujia Zhang, Michael Kampffmeyer +1
Partially Relevant Video Retrieval (PRVR) is a practical yet challenging task that involves retrieving videos based on queries relevant to only specific segments. While existing wo…
TB-Net: A Three-Stream Boundary-Aware Network for Fine-Grained Pavement Disease Segmentation
Yujia Zhang, Qianzhong Li, Xiaoguang Zhao +1
Regular pavement inspection plays a significant role in road maintenance for safety assurance. Existing methods mainly address the tasks of crack detection and segmentation that ar…
A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures
Jinting Wu, Yujia Zhang, Xiaoguang Zhao +1
Although automatic emotion recognition from facial expressions and speech has made remarkable progress, emotion recognition from body gestures has not been thoroughly explored. Peo…
A Prototype-Based Generalized Zero-Shot Learning Framework for Hand Gesture Recognition
Jinting Wu, Yujia Zhang, Xiaoguang Zhao
Hand gesture recognition plays a significant role in human-computer interaction for understanding various human gestures and their intent. However, most prior works can only recogn…
Query-Conditioned Three-Player Adversarial Network for Video Summarization
Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang +2
Video summarization plays an important role in video understanding by selecting key frames/shots. Traditionally, it aims to find the most representative and diverse contents in a v…
Dilated Temporal Relational Adversarial Network for Generic Video Summarization
Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang +3
The large amount of videos popping up every day, make it more and more critical that key information within videos can be extracted and understood in a very short time. Video summa…
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation
Michael Kampffmeyer, Nanqing Dong, Xiaodan Liang +2
Salient segmentation aims to segment out attention-grabbing regions, a critical yet challenging task and the foundation of many high-level computer vision applications. It requires…
Unsupervised Object-Level Video Summarization with Online Motion Auto-Encoder
Yujia Zhang, Xiaodan Liang, Dingwen Zhang +2
Unsupervised video summarization plays an important role on digesting, browsing, and searching the ever-growing videos every day, and the underlying fine-grained semantic and motio…