1 citations · 1 across the 10 of their papers we have counts for
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SARE: Sample-wise Adaptive Reasoning for Training-free Fine-grained Visual Recognition
Jingxiao Yang, DaLin He, Miao Pan +7
Recent advances in Large Vision-Language Models (LVLMs) have enabled training-free Fine-Grained Visual Recognition (FGVR). However, effectively exploiting LVLMs for FGVR remains ch…
EPIR: An Efficient Patch Tokenization, Integration and Representation Framework for Micro-expression Recognition
Junbo Wang, Liangyu Fu, Yuke Li +3
Micro-expression recognition can obtain the real emotion of the individual at the current moment. Although deep learning-based methods, especially Transformer-based methods, have a…
DiffVC: A Non-autoregressive Framework Based on Diffusion Model for Video Captioning
Junbo Wang, Liangyu Fu, Yuke Li +4
Current video captioning methods usually use an encoder-decoder structure to generate text autoregressively. However, autoregressive methods have inherent limitations such as slow…
SELECT: Detecting Label Errors in Real-world Scene Text Data
Wenjun Liu, Qian Wu, Yifeng Hu +1
We introduce SELECT (Scene tExt Label Errors deteCTion), a novel approach that leverages multi-modal training to detect label errors in real-world scene text datasets. Utilizing an…
HaltingVT: Adaptive Token Halting Transformer for Efficient Video Recognition
Qian Wu, Ruoxuan Cui, Yuke Li +1
Action recognition in videos poses a challenge due to its high computational cost, especially for Joint Space-Time video transformers (Joint VT). Despite their effectiveness, the e…
Differentiable Resolution Compression and Alignment for Efficient Video Classification and Retrieval
Rui Deng, Qian Wu, Yuke Li +1
Optimizing video inference efficiency has become increasingly important with the growing demand for video analysis in various fields. Some existing methods achieve high efficiency…
3D-CSL: self-supervised 3D context similarity learning for Near-Duplicate Video Retrieval
Rui Deng, Qian Wu, Yuke Li
In this paper, we introduce 3D-CSL, a compact pipeline for Near-Duplicate Video Retrieval (NDVR), and explore a novel self-supervised learning strategy for video similarity learnin…