26 citations · 76 across the 9 of their papers we have counts for
9 papers
Mastering Negation: Boosting Grounding Models via Grouped Opposition-Based Learning
Zesheng Yang, Xi Jiang, Bingzhang Hu +4
Current vision-language detection and grounding models predominantly focus on prompts with positive semantics and often struggle to accurately interpret and ground complex expressi…
Knowing the Past to Predict the Future: Reinforcement Virtual Learning
Peng Zhang, Yawen Huang, Bingzhang Hu +5
Reinforcement Learning (RL)-based control system has received considerable attention in recent decades. However, in many real-world problems, such as Batch Process Control, the env…
Discriminative Latent Semantic Graph for Video Captioning
Yang Bai, Junyan Wang, Yang Long +4
Video captioning aims to automatically generate natural language sentences that can describe the visual contents of a given video. Existing generative models like encoder-decoder f…
Semi-Supervised Crowd Counting from Unlabeled Data
Haoran Duan, Fan Wan, Rui Sun +6
Automatic Crowd behavior analysis can be applied to effectively help the daily transportation statistics and planning, which helps the smart city construction. As one of the most i…
Query Twice: Dual Mixture Attention Meta Learning for Video Summarization
Junyan Wang, Yang Bai, Yang Long +4
Video summarization aims to select representative frames to retain high-level information, which is usually solved by predicting the segment-wise importance score via a softmax fun…
Dual-reference Age Synthesis
Yuan Zhou, Bingzhang Hu, and Jun He +2
Age synthesis methods typically take a single image as input and use a specific number to control the age of the generated image. In this paper, we propose a novel framework taking…
Order Matters: Shuffling Sequence Generation for Video Prediction
Junyan Wang, Bingzhang Hu, Yang Long +1
Predicting future frames in natural video sequences is a new challenge that is receiving increasing attention in the computer vision community. However, existing models suffer from…
Robust Cross-View Gait Recognition with Evidence: A Discriminant Gait GAN (DiGGAN) Approach
BingZhang Hu, Yu Guan, Yan Gao +3
Gait as a biometric trait has attracted much attention in many security and privacy applications such as identity recognition and authentication, during the last few decades. Becau…
Dual-reference Face Retrieval
BingZhang Hu, Feng Zheng, Ling Shao
Face retrieval has received much attention over the past few decades, and many efforts have been made in retrieving face images against pose, illumination, and expression variation…