most citedLong-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model

3 citations · 3 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CR2025

Noise-Aware and Dynamically Adaptive Federated Defense Framework for SAR Image Target Recognition

Yuchao Hou, Zixuan Zhang, Jie Wang +9

As a critical application of computational intelligence in remote sensing, deep learning-based synthetic aperture radar (SAR) image target recognition facilitates intelligent perce…

q-bio.NC2025

A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing

Yu Chen, Jing Lian, Zhaofei Yu +3

Event cameras are bio-inspired vision sensor that encode visual information with high dynamic range, high temporal resolution, and low latency.Current state-of-the-art event stream…

cs.LG2025

FastGRPO: Accelerating Policy Optimization via Concurrency-aware Speculative Decoding and Online Draft Learning

Yizhou Zhang, Ning Lv, Teng Wang +1

Group relative policy optimization (GRPO) has demonstrated significant potential in improving the reasoning capabilities of large language models (LLMs) via reinforcement learning.…

cs.CV2025

Boosting Temporal Sentence Grounding via Causal Inference

Kefan Tang, Lihuo He, Jisheng Dang +1

Temporal Sentence Grounding (TSG) aims to identify relevant moments in an untrimmed video that semantically correspond to a given textual query. Despite existing studies having mad…

cs.CV2025

Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and Grounder

Dang Jisheng, Wu Xudong, Wang Bimei +7

Existing video segmenter and grounder approaches, exemplified by Sa2VA, directly fuse features within segmentation models. This often results in an undesirable entanglement of dyna…

cs.CV2025

MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering

Jisheng Dang, Huilin Song, Junbin Xiao +6

Grounded Video Question Answering (Grounded VideoQA) requires aligning textual answers with explicit visual evidence. However, modern multimodal models often rely on linguistic pri…