activity
20232025
most citedM2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action Recognition

4 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

LumosFlow: Motion-Guided Long Video Generation

Jiahao Chen, Hangjie Yuan, Yichen Qian +6

Long video generation has gained increasing attention due to its widespread applications in fields such as entertainment and simulation. Despite advances, synthesizing temporally c…

cs.CV2024

TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-On

Jiazheng Xing, Chao Xu, Yijie Qian +5

Virtual try-on focuses on adjusting the given clothes to fit a specific person seamlessly while avoiding any distortion of the patterns and textures of the garment. However, the cl…

cs.CV2024

FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio

Chao Xu, Yang Liu, Jiazheng Xing +8

In this paper, we abstract the process of people hearing speech, extracting meaningful cues, and creating various dynamically audio-consistent talking faces, termed Listening and I…

cs.CV20242 cited

SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking

Xiaojun Hou, Jiazheng Xing, Yijie Qian +8

Multimodal Visual Object Tracking (VOT) has recently gained significant attention due to its robustness. Early research focused on fully fine-tuning RGB-based trackers, which was i…

cs.CV20244 cited

M2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action Recognition

Mengmeng Wang, Jiazheng Xing, Boyuan Jiang +6

Recently, the rise of large-scale vision-language pretrained models like CLIP, coupled with the technology of Parameter-Efficient FineTuning (PEFT), has captured substantial attrac…

cs.CV20232 cited

Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching

Jiazheng Xing, Mengmeng Wang, Yudi Ruan +6

Class prototype construction and matching are core aspects of few-shot action recognition. Previous methods mainly focus on designing spatiotemporal relation modeling modules or co…