activity
20212026
most citedMSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction

14 citations · 15 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Unlocking Fine-Grained Perception in CLIP via Structurally-Aware Latent Masked Modeling

Juntong Li, Lingwei Dang, Haomin Wu +3

Vision-Language Models (VLMs) such as CLIP excel in global semantic alignment but often lack fine-grained perceptual capabilities. This hinders dense prediction tasks and bottlenec…

cs.LG2026

CoER: Defending against Adaptive Indirect Prompt Injection via Adversarial Co-Evolution and Refinement

Boyang Zhang, Qingxin Xiao, Lingwei Dang +1

Language-model agents are vulnerable to indirect prompt injection (IPI) during tool use: adversarial instructions hidden in untrusted tool outputs can covertly redirect legitimate…

cs.CV2026

HarmoHOI: Harmonizing Appearance and 3D Motion for Multi-view Hand-Object Interaction Synthesis

Lingwei Dang, Juntong Li, Zonghan Li +5

Hand-Object Interaction (HOI) synthesis is a cornerstone for animation production and embodied AI. Despite the strong priors of video foundation models, multi-view consistent HOI s…

cs.RO2026

Roomer: Reflective Object-Grounded Model Editing and Repair for 3D Indoor Layout Synthesis

Lingwei Dang, Ziyan Qiu, Jiajia Cheng +9

Existing indoor layout generators produce globally plausible layouts yet may retain local violations such as collisions, out-of-bounds placements, obstructed openings, and blocked…

cs.CV2026

StyleForge: Indoor Furniture Styling by Counterfactual Reasoning in a Hypergraph Field

Lingwei Dang, Shishuo Shang, Pan Liu +9

Fixed-layout indoor furniture styling requires selecting assets that form a coherent room without changing the prescribed furniture categories, positions, orientations, or scales.…

cs.CV2026

Not Blind but Silenced: Rebalancing Vision and Language via Adversarial Counter-Commonsense Equilibrium

Qingxin Xiao, Peilin Zhao, Yangyang Zhao +2

During MLLM decoding, attention often abnormally concentrates on irrelevant image tokens. While existing research dismisses this as invalid noise and forcibly redirects attention t…

cs.CV2025

SyncMV4D: Synchronized Multi-view Joint Diffusion of Appearance and Motion for Hand-Object Interaction Synthesis

Lingwei Dang, Zonghan Li, Juntong Li +4

Hand-Object Interaction (HOI) generation plays a critical role in advancing applications across animation and robotics. Current video-based methods are predominantly single-view, w…

cs.CV2025

SViMo: Synchronized Diffusion for Video and Motion Generation in Hand-object Interaction Scenarios

Lingwei Dang, Ruizhi Shao, Hongwen Zhang +3

Hand-Object Interaction (HOI) generation has significant application potential. However, current 3D HOI motion generation approaches heavily rely on predefined 3D object models and…

cs.CV2025

Video Anomaly Detection with Semantics-Aware Information Bottleneck

Juntong Li, Lingwei Dang, Qingxin Xiao +5

Semi-supervised video anomaly detection methods face two critical challenges: (1) Strong generalization blurs the boundary between normal and abnormal patterns. Although existing a…

cs.CV2022★ 1 cited

Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space

Lingwei Dang, Yongwei Nie, Chengjiang Long +2

Diverse human motion prediction aims at predicting multiple possible future pose sequences from a sequence of observed poses. Previous approaches usually employ deep generative net…

cs.CV2021★ 14 cited

MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction

Lingwei Dang, Yongwei Nie, Chengjiang Long +2

Human motion prediction is a challenging task due to the stochasticity and aperiodicity of future poses. Recently, graph convolutional network has been proven to be very effective…