1 citations · 1 across the 10 of their papers we have counts for
10 papers
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…
SCHK-HTC: Sibling Contrastive Learning with Hierarchical Knowledge-Aware Prompt Tuning for Hierarchical Text Classification
Ke Xiong, Qian Wu, Wangjie Gan +2
Few-shot Hierarchical Text Classification (few-shot HTC) is a challenging task that involves mapping texts to a predefined tree-structured label hierarchy under data-scarce conditi…
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…
Cross-Modal Denoising: A Novel Training Paradigm for Enhancing Speech-Image Retrieval
Lifeng Zhou, Yuke Li, Rui Deng +2
The success of speech-image retrieval relies on establishing an effective alignment between speech and image. Existing methods often model cross-modal interaction through simple co…
Coarse-to-fine Alignment Makes Better Speech-image Retrieval
Lifeng Zhou, Yuke Li
In this paper, we propose a novel framework for speech-image retrieval. We utilize speech-image contrastive (SIC) learning tasks to align speech and image representations at a coar…
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…