6 citations · 8 across the 14 of their papers we have counts for
17 papers
DeOverlay: A Benchmark and Source-Anchored Flow for Video Overlay Removal
Deshui Miao, Yuhang Ma, Shaoyong Jia +4
Video overlay removal aims to recover scenes obscured by subtitles, titles, and logos while preserving surrounding content. Existing methods use temporal propagation or source-cond…
Think Visually Across Space and Time: Grounded Reasoning for Video Segmentation
Junwei Wen, Deshui Miao, Guangming Lu +3
Video Reasoning Segmentation (VRS) requires a model to identify an implicitly described target and predict its pixel-level mask trajectory, while resolving the spatial relations an…
Nonadiabatic polaron dynamics from machine-learned hopping trajectories
Daniela Mangano, Luca Leoni, Zhongfei Xu +2
The formation and motion of small polarons are ubiquitous in energy materials and influence photoinduced processes. Polaron transport is governed by thermally activated lattice dyn…
GeoWeaver: Grounding Visual Tokens with Geometric Evidence before Scene Reasoning
Deshui Miao, Xingsen Huang, Yameng Gu +3
Spatio-temporal reasoning in vision-language models requires visual representations that preserve physical geometry rather than merely semantic appearance. Recent multimodal models…
RCoT-Seg: Reinforced Chain-of-Thought for Video Reasoning and Segmentation
Junwei Wen, Deshui Miao, Guangming Lu +2
Video Reasoning Segmentation (VRS) aims to segment target objects in videos based on implicit instructions that convey human intent and temporal logic. Existing MLLM-based methods…
Report of the 5th PVUW Challenge: Towards More Diverse Modalities in Pixel-Level Understanding
Chang Liu, Henghui Ding, Nikhila Ravi +40
This report summarizes the objectives, datasets, and top-performing methodologies of the 2026 Pixel-level Video Understanding in the Wild (PVUW) Challenge, hosted at CVPR 2026, whi…
OAMVOS:2nd Report for 5th PVUW MOSE Track
Deshui Miao, Xingsen Huang, Yameng Gu +3
SAM-based dense trackers provide strong short-term mask propagation but remain fragile under long occlusion, fast motion, viewpoint change, and distractors. The problem is especial…
AgentRVOS for MeViS-Text Track of 5th PVUW Challenge: 3rd Method
Deshui Miao, Chao Yang, Chao Tian +4
This report describes a Ref-VOS pipeline centered on Sa2VA and organized with explicit agent roles. The key idea is that Sa2VA should provide the first dense semantic hypothesis, w…
APRVOS: 1st Place Winner of 5th PVUW MeViS-Audio Track
Deshui Miao, Yameng Gu, Chao Yang +3
This report presents an Audio-aware Referring Video Object Segmentation (Ref-VOS) pipeline tailored to the MEVIS\_Audio setting, where the referring expression is provided in spoke…
Fusing in 3D: Free-Viewpoint Fusion Rendering with a 3D Infrared-Visible Scene Representation
Chao Yang, Deshui Miao, Chao Tian +3
Infrared-visible image fusion aims to integrate infrared and visible information into a single fused image. Existing 2D fusion methods focus on fusing images from fixed camera view…
LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation
Henghui Ding, Lingyi Hong, Chang Liu +30
Despite the promising performance of current video segmentation models on existing benchmarks, these models still struggle with complex scenes. In this paper, we introduce the 6th…
Discriminative Spatial-Semantic VOS Solution: 1st Place Solution for 6th LSVOS
Deshui Miao, Yameng Gu, Xin Li +3
Video object segmentation (VOS) is a crucial task in computer vision, but current VOS methods struggle with complex scenes and prolonged object motions. To address these challenges…
Learning Spatial-Semantic Features for Robust Video Object Segmentation
Xin Li, Deshui Miao, Zhenyu He +3
Tracking and segmenting multiple similar objects with distinct or complex parts in long-term videos is particularly challenging due to the ambiguity in identifying target component…
PVUW 2024 Challenge on Complex Video Understanding: Methods and Results
Henghui Ding, Chang Liu, Yunchao Wei +34
Pixel-level Video Understanding in the Wild Challenge (PVUW) focus on complex video understanding. In this CVPR 2024 workshop, we add two new tracks, Complex Video Object Segmentat…
1st Place Solution for MOSE Track in CVPR 2024 PVUW Workshop: Complex Video Object Segmentation
Deshui Miao, Xin Li, Zhenyu He +2
Tracking and segmenting multiple objects in complex scenes has always been a challenge in the field of video object segmentation, especially in scenarios where objects are occluded…
Spatial-Temporal Multi-level Association for Video Object Segmentation
Deshui Miao, Xin Li, Zhenyu He +2
Existing semi-supervised video object segmentation methods either focus on temporal feature matching or spatial-temporal feature modeling. However, they do not address the issues o…
Simple Contrastive Representation Adversarial Learning for NLP Tasks
Deshui Miao, Jiaqi Zhang, Wenbo Xie +4
Self-supervised learning approach like contrastive learning is attached great attention in natural language processing. It uses pairs of training data augmentations to build a clas…