166 citations · 631 across the 64 of their papers we have counts for
64 papers
DiffVC-ONE: Diffusion-based Generative Video Compression with One-Step Video Diffusion Transformer
Wenzhuo Ma, Zhenzhong Chen
Generative video compression can recover rich visual details at low bitrates, but simultaneously achieving high temporal consistency and low inference cost remains challenging. To…
ETC: Extreme Token Compression via Task-aware Visual Information Distillation in VLMs
Yiling Gao, Hongchen Wei, Zhenzhong Chen
In Vision-Language Models (VLMs), high-resolution images produce a large number of visual tokens, resulting in high computational costs and KV-cache overhead during inference. To a…
DocAtlas: Long-Document Understanding as Mutable-State Interaction
Hongchen Wei, Yuanzhe Wang, Bei Liu +8
Long-document understanding requires models to find and combine evidence across many pages, layouts, tables, figures, and charts. Existing retrieval-augmented systems usually selec…
XL-DocBench: Benchmarking Evidence-Grounded Extra-Long Document Understanding
Hongchen Wei, Yuanzhe Wang, Bei Liu +9
Real-world document tasks often ask professionals to answer questions from annual reports, regulations, clinical guidelines, and technical manuals that span hundreds or thousands o…
DiffCVE: Diffusion-based Compressed Video Enhancement
Wenqiang Xiao, Wenzhuo Ma, Junxi Zhang +1
Perceptual quality enhancement of severely compressed videos remains challenging due to complex artifact patterns and substantial information loss. Recent diffusion models have dem…
The First Challenge on Mobile Real-World Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview
Jiatong Li, Zheng Chen, Kai Liu +91
This paper provides a review of the NTIRE 2026 challenge on mobile real-world image super-resolution, highlighting the proposed solutions and the resulting outcomes. The challenge…
Robotic Scene Cloning:Advancing Zero-Shot Robotic Scene Adaptation in Manipulation via Visual Prompt Editing
Binyuan Huang, Yuqing Wen, Yucheng Zhao +5
Modern robots can perform a wide range of simple tasks and adapt to diverse scenarios in the well-trained environment. However, deploying pre-trained robot models in real-world use…
DiffVC-RT: Towards Practical Real-Time Diffusion-based Perceptual Neural Video Compression
Wenzhuo Ma, Zhenzhong Chen
The practical deployment of diffusion-based Neural Video Compression (NVC) faces critical challenges, including severe information loss, prohibitive inference latency, and poor tem…
SemPT: Semantic Prompt Tuning for Vision-Language Models
Xiao Shi, Yangjun Ou, Zhenzhong Chen
Visual transfer learning for unseen categories presents an active research topic yet a challenging task, due to the inherent conflict between preserving category-specific represent…
DiffVC-OSD: One-Step Diffusion-based Perceptual Neural Video Compression Framework
Wenzhuo Ma, Zhenzhong Chen
In this work, we first propose DiffVC-OSD, a One-Step Diffusion-based Perceptual Neural Video Compression framework. Unlike conventional multi-step diffusion-based methods, DiffVC-…
LOP: Learning Optimal Pruning for Efficient On-Demand MLLMs Scaling
Zhihan Zhang, Xiang Pan, Hongchen Wei +1
Structural pruning techniques are essential for deploying multimodal large language models (MLLMs) across various hardware platforms, from edge devices to cloud servers. However, c…
RSFAKE-1M: A Large-Scale Dataset for Detecting Diffusion-Generated Remote Sensing Forgeries
Zhihong Tan, Jiayi Wang, Huiying Shi +3
Detecting forged remote sensing images is becoming increasingly critical, as such imagery plays a vital role in environmental monitoring, urban planning, and national security. Whi…
Training-Free Reasoning and Reflection in MLLMs
Hongchen Wei, Zhenzhong Chen
Recent advances in Reasoning LLMs (e.g., DeepSeek-R1 and OpenAI-o1) have showcased impressive reasoning capabilities via reinforcement learning. However, extending these capabiliti…
Frequency Enhancement for Image Demosaicking
Jingyun Liu, Daiqin Yang, Zhenzhong Chen
Recovering high-frequency textures in image demosaicking remains a challenging issue. While existing methods introduced elaborate spatial learning methods, they still exhibit limit…
LongCaptioning: Unlocking the Power of Long Video Caption Generation in Large Multimodal Models
Hongchen Wei, Zhihong Tan, Yaosi Hu +2
Large Multimodal Models (LMMs) have demonstrated exceptional performance in video captioning tasks, particularly for short videos. However, as the length of the video increases, ge…
Remote Sensing Semantic Segmentation Quality Assessment based on Vision Language Model
Huiying Shi, Zhihong Tan, Zhihan Zhang +4
The complexity of scenes and variations in image quality result in significant variability in the performance of semantic segmentation methods of remote sensing imagery (RSI) in su…
Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse
Wenzhuo Ma, Zhenzhong Chen
Recently, foundational diffusion models have attracted considerable attention in image compression tasks, whereas their application to video compression remains largely unexplored.…
Visual Context Window Extension: A New Perspective for Long Video Understanding
Hongchen Wei, Zhenzhong Chen
Large Multimodal Models (LMMs) have demonstrated impressive performance in short video understanding tasks but face great challenges when applied to long video understanding. In co…
Map-Assisted Remote-Sensing Image Compression at Extremely Low Bitrates
Yixuan Ye, Ce Wang, Wanjie Sun +1
Remote-sensing (RS) image compression at extremely low bitrates has always been a challenging task in practical scenarios like edge device storage and narrow bandwidth transmission…
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results
Maksim Smirnov, Aleksandr Gushchin, Anastasia Antsiferova +29
Video quality assessment (VQA) is a crucial task in the development of video compression standards, as it directly impacts the viewer experience. This paper presents the results of…
Timestep-Aware Diffusion Model for Extreme Image Rescaling
Ce Wang, Zhenyu Hu, Wanjie Sun +1
Image rescaling aims to learn the optimal low-resolution (LR) image that can be accurately reconstructed to its original high-resolution (HR) counterpart, providing an efficient im…
Joint Reference Frame Synthesis and Post Filter Enhancement for Versatile Video Coding
Weijie Bao, Yuantong Zhang, Jianghao Jia +2
This paper presents the joint reference frame synthesis (RFS) and post-processing filter enhancement (PFE) for Versatile Video Coding (VVC), aiming to explore the combination of di…
AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results
Marcos V. Conde, Saman Zadtootaghaj, Nabajeet Barman +33
This paper reviews the AIS 2024 Video Quality Assessment (VQA) Challenge, focused on User-Generated Content (UGC). The aim of this challenge is to gather deep learning-based method…
NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results
Xin Li, Kun Yuan, Yajing Pei +65
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected da…