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20212026
most citedSimple Contrastive Representation Adversarial Learning for NLP Tasks

6 citations · 8 across the 14 of their papers we have counts for

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10 papers · 1 filter

cs.CV2026

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…

cs.CV2026

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…

cond-mat.mtrl-sci2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.SD2026

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…

cs.CV2026

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…