1 citations · 3 across the 22 of their papers we have counts for
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TDEdit: A Unified Diffusion Framework for Text-Drag Guided Image Manipulation
Qihang Wang, Yaxiong Wang, Lechao Cheng +1
This paper explores image editing under the joint control of text and drag interactions. While recent advances in text-driven and drag-driven editing have achieved remarkable progr…
Beyond Artificial Misalignment: Detecting and Grounding Semantic-Coordinated Multimodal Manipulations
Jinjie Shen, Yaxiong Wang, Lechao Cheng +2
The detection and grounding of manipulated content in multimodal data has emerged as a critical challenge in media forensics. While existing benchmarks demonstrate technical progre…
Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline
Haiyang Li, Yaxiong Wang, Shengeng Tang +6
Detecting deceptive multimodal content on social media has become an increasingly important problem. Two major types of deception dominate: human-crafted misinformation (e.g., rumo…
FakeSV-VLM: Taming VLM for Detecting Fake Short-Video News via Progressive Mixture-Of-Experts Adapter
Junxi Wang, Yaxiong Wang, Lechao Cheng +1
We present FakeSV-VLM in this paper, a new VLM-based framework for detecting fake news on short video platforms. Despite significant efforts to combat this issue due to the severe…
SLRTP2025 Sign Language Production Challenge: Methodology, Results, and Future Work
Harry Walsh, Ed Fish, Ozge Mercanoglu Sincan +19
Sign Language Production (SLP) is the task of generating sign language video from spoken language inputs. The field has seen a range of innovations over the last few years, with th…
Motion is the Choreographer: Learning Latent Pose Dynamics for Seamless Sign Language Generation
Jiayi He, Xu Wang, Shengeng Tang +3
Sign language video generation requires producing natural signing motions with realistic appearances under precise semantic control, yet faces two critical challenges: excessive si…
SplitGaussian: Reconstructing Dynamic Scenes via Visual Geometry Decomposition
Lechao Cheng, Jiahui Li, Jingxuan He +5
Reconstructing dynamic 3D scenes from monocular video remains fundamentally challenging due to the need to jointly infer motion, structure, and appearance from limited observations…
Towards Fine-Grained Emotion Understanding via Skeleton-Based Micro-Gesture Recognition
Hao Xu, Lechao Cheng, Yaxiong Wang +2
We present our solution to the MiGA Challenge at IJCAI 2025, which aims to recognize micro-gestures (MGs) from skeleton sequences for the purpose of hidden emotion understanding. M…
SSAM: Self-Supervised Association Modeling for Test-Time Adaption
Yaxiong Wang, Zhenqiang Zhang, Lechao Cheng +3
Test-time adaption (TTA) has witnessed important progress in recent years, the prevailing methods typically first encode the image and the text and design strategies to model the a…
Consistency-aware Fake Videos Detection on Short Video Platforms
Junxi Wang, Jize liu, Na Zhang +1
This paper focuses to detect the fake news on the short video platforms. While significant research efforts have been devoted to this task with notable progress in recent years, cu…
Towards Micro-Action Recognition with Limited Annotations: An Asynchronous Pseudo Labeling and Training Approach
Yan Zhang, Lechao Cheng, Yaxiong Wang +2
Micro-Action Recognition (MAR) aims to classify subtle human actions in video. However, annotating MAR datasets is particularly challenging due to the subtlety of actions. To this…
Text-Driven Diffusion Model for Sign Language Production
Jiayi He, Xu Wang, Ruobei Zhang +3
We introduce the hfut-lmc team's solution to the SLRTP Sign Production Challenge. The challenge aims to generate semantically aligned sign language pose sequences from text inputs.…
Knowledge Swapping via Learning and Unlearning
Mingyu Xing, Lechao Cheng, Shengeng Tang +3
We introduce \textbf{Knowledge Swapping}, a novel task designed to selectively regulate knowledge of a pretrained model by enabling the forgetting of user\-specified information, r…