3 citations · 3 across the 13 of their papers we have counts for
16 papers
Persistent Object Narratives for Token-Efficient Video Language Models
Junzhe Chen, Siyuan Meng, Xiaojie Guo
Video large language models (Video-LLMs) have made strong progress in open-ended video understanding. However, their visual interfaces remain token-intensive and provide limited ex…
Fabric Image Demoiréing Benchmark from Synthesis to Restoration
Pengchao Wei, Xiaojie Guo
Fabric moiré is a sampling-induced aliasing artifact caused by the interaction between fine textile patterns and camera sensor grids, producing structured interference that severel…
Principled Reflection Separation via Nonlinear Superposition and Feature Interaction
Qiming Hu, Mingjia Li, Yuntong Li +1
Single-image reflection separation is fundamentally challenged by the entanglement of transmission and reflection layers under complex image formation processes. Existing approache…
Representative Attention For Vision Transformers
Yuntong Li, Hainuo Wang, Hengxing Liu +2
Linear attention has emerged as a promising direction for scaling Vision Transformers beyond the quadratic cost of dense self-attention. A prevalent strategy is to compress spatial…
TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models
Junzhe Chen, Siyuan Meng, Yuxi Chen +3
Video large language models (Video-LLMs) have made strong progress in general video understanding, but their ability to maintain temporal object consistency remains underexplored.…
On the Global Photometric Alignment for Low-Level Vision
Mingjia Li, Tianle Du, Hainuo Wang +2
Supervised low-level vision models rely on pixel-wise losses against paired references, yet paired training sets exhibit per-pair photometric inconsistency, say, different image pa…
Anchor then Polish for Low-light Enhancement
Tianle Du, Mingjia Li, Hainuo Wang +1
Low-light image enhancement is challenging due to entangled degradations, mainly including poor illumination, color shifts, and texture interference. Existing methods often rely on…
WiT: Waypoint Diffusion Transformers for Alleviating Trajectory Conflict in Pixel-Space Image Generation
Hainuo Wang, Mingjia Li, Xiaojie Guo
While recent Flow Matching models avoid the reconstruction bottlenecks of latent autoencoders by operating directly in pixel space, the raw pixel manifold provides little explicit…
Rectifying Latent Space for Generative Single-Image Reflection Removal
Mingjia Li, Jin Hu, Hainuo Wang +3
Single-image reflection removal is a highly ill-posed problem, where existing methods struggle to reason about the composition of corrupted regions, causing them to fail at recover…
NTIRE 2025 Image Shadow Removal Challenge Report
Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou +79
This work examines the findings of the NTIRE 2025 Shadow Removal Challenge. A total of 306 participants have registered, with 17 teams successfully submitting their solutions durin…
Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders
Qiming Hu, Linlong Fan, Yiyan Luo +3
The introduction of generative models has significantly advanced image super-resolution (SR) in handling real-world degradations. However, they often incur fidelity-related issues,…
MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image Recovery
Hainuo Wang, Qiming Hu, Xiaojie Guo
Restoring images degraded by adverse weather remains a significant challenge due to the highly non-uniform and spatially heterogeneous nature of weather-induced artifacts, e.g., fi…
ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer
Jin Hu, Mingjia Li, Xiaojie Guo
Shadows introduce challenges such as reduced brightness, texture deterioration, and color distortion in images, complicating a holistic solution. This study presents \textbf{Shadow…
LIME-Eval: Rethinking Low-light Image Enhancement Evaluation via Object Detection
Mingjia Li, Hao Zhao, Xiaojie Guo
Due to the nature of enhancement--the absence of paired ground-truth information, high-level vision tasks have been recently employed to evaluate the performance of low-light image…
Reversible Decoupling Network for Single Image Reflection Removal
Hao Zhao, Mingjia Li, Qiming Hu +1
Recent deep-learning-based approaches to single-image reflection removal have shown promising advances, primarily for two reasons: 1) the utilization of recognition-pretrained feat…
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results
Xiaoning Liu, Zongwei Wu, Ao Li +109
This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective netw…