5 citations · 8 across the 10 of their papers we have counts for
10 papers
Multiple Hypothesis Flow Estimation for Video Frame Interpolation under Matching Ambiguity
Zibo Su, Jing Kong, Ruixing Wang +2
Many flow-based video frame interpolation (VFI) methods synthesize an intermediate frame by estimating optical flow fields, warping the two input frames, and blending the warped ob…
Hierarchical Dual-Subspace Decoupling for Continual Learning in Vision-Language Models
Mengxin Qin, Xiang Zhang, Kun Wei +2
Class-incremental learning aims to continuously acquire new knowledge while preserving previously learned information, thereby mitigating catastrophic forgetting. Existing methods…
DIMoE-Adapters: Dynamic Expert Evolution for Continual Learning in Vision-Language Models
Mengxin Qin, Xiang Zhang, Xi Wang +3
Continual learning enables vision-language models to accumulate knowledge and adapt to evolving tasks without retraining from scratch. However, in multi-domain task-incremental lea…
DSCD-Nav: Dual-Stance Cooperative Debate for Object Navigation
Weitao An, Qi Liu, Chenghao Xu +4
Adaptive navigation in unfamiliar indoor environments is crucial for household service robots. Despite advances in zero-shot perception and reasoning from vision-language models, e…
A Bridge from Audio to Video: Phoneme-Viseme Alignment Allows Every Face to Speak Multiple Languages
Zibo Su, Kun Wei, Jiahua Li +3
Speech-driven talking face synthesis (TFS) focuses on generating lifelike facial animations from speech input. Current TFS models perform well in English but struggle with non-Engl…
Rotation Control Unlearning: Quantifying and Controlling Continuous Unlearning for LLM with The Cognitive Rotation Space
Xiang Zhang, Kun Wei, Xu Yang +3
As Large Language Models (LLMs) become increasingly prevalent, their security vulnerabilities have already drawn attention. Machine unlearning is introduced to seek to mitigate the…
Perceive, Verify and Understand Long Video: Multi-Granular Perception and Active Verification via Interactive Agents
Jiahua Li, Zhanhe Zhang, Chenghao Xu +4
Long videos, characterized by temporal complexity and sparse task-relevant information, pose significant reasoning challenges for AI systems. Although existing Large Language Model…
Do You Guys Want to Dance: Zero-Shot Compositional Human Dance Generation with Multiple Persons
Zhe Xu, Kun Wei, Xu Yang +1
Human dance generation (HDG) aims to synthesize realistic videos from images and sequences of driving poses. Despite great success, existing methods are limited to generating video…
Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning
Xiangyu Li, Xu Yang, Kun Wei +2
Compositional Zero-Shot Learning (CZSL) aims to recognize unseen compositions formed from seen state and object during training. Since the same state may be various in the visual a…
Incremental Embedding Learning via Zero-Shot Translation
Kun Wei, Cheng Deng, Xu Yang +1
Modern deep learning methods have achieved great success in machine learning and computer vision fields by learning a set of pre-defined datasets. Howerver, these methods perform u…