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

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6 papers · 1 filter

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…