1 citations · 1 across the 5 of their papers we have counts for
5 papers
If You Hear It, Help Find It: Orthogonal Knowledge Distillation for Open-Vocabulary Audio-Visual Event Localization
Yi Xu, Cheng Chen, Wenzhuo Lei
Open-vocabulary audio-visual event localization (OV-AVEL) grounds a text-queried event in time from video, audio, and language. The supervision sources available to this task can d…
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images
Yicheng Song, Tiancheng Lin, Die Peng +2
Various multi-instance learning (MIL) based approaches have been developed and successfully applied to whole-slide pathological images (WSI). Existing MIL methods emphasize the imp…
Relational Contrastive Learning and Masked Image Modeling for Scene Text Recognition
Tiancheng Lin, Jinglei Zhang, Yi Xu +3
Context-aware methods have achieved remarkable advancements in supervised scene text recognition by leveraging semantic priors from words. Considering the heterogeneity of text and…
Background Clustering Pre-training for Few-shot Segmentation
Zhimiao Yu, Tiancheng Lin, Yi Xu
Recent few-shot segmentation (FSS) methods introduce an extra pre-training stage before meta-training to obtain a stronger backbone, which has become a standard step in few-shot le…
Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment
Hongyu Hu, Tiancheng Lin, Jie Wang +2
Large-scale vision-language models (VLMs), e.g., CLIP, learn broad visual concepts from tedious training data, showing superb generalization ability. Amount of prompt learning meth…