activity
20232026
most citedBatchNorm-based Weakly Supervised Video Anomaly Detection

4 citations · 10 across the 33 of their papers we have counts for

collaborators

52 papers

cs.CV2026

Janus-LoRA: A Balanced Low-Rank Adaptation for Continual Learning

Cheng Chen, Pengpeng Zeng, Yuyu Guo +3

Low-Rank Adaptation (LoRA) has emerged as a promising paradigm for Continual Learning. It independently updates its low-rank factors ( and ), creating a composite update to t…

cs.CV2026

Structure-aware Prompt Adaptation from Seen to Unseen for Open-Vocabulary Compositional Zero-Shot Learning

Yihang Duan, Jiong Wang, Pengpeng Zeng +5

The goal of Open-Vocabulary Compositional Zero-Shot Learning (OV-CZSL) is to recognize attribute-object compositions in the open-vocabulary setting, where compositions of both seen…

cs.CV2026

SkeleGuide: Explicit Skeleton Reasoning for Context-Aware Human-in-Place Image Synthesis

Chuqiao Wu, Jin Song, Yiyun Fei

Generating realistic and structurally plausible human images into existing scenes remains a significant challenge for current generative models, which often produce artifacts like…

cs.CV2026

TIMI: Training-Free Image-to-3D Multi-Instance Generation with Spatial Fidelity

Xiao Cai, Pengpeng Zeng, Ji Zhang +3

Precise spatial fidelity in Image-to-3D multi-instance generation is critical for downstream real-world applications. Recent work attempts to address this by fine-tuning pre-traine…

cs.LG2026

Benchmarking Few-shot Transferability of Pre-trained Models with Improved Evaluation Protocols

Xu Luo, Ji Zhang, Lianli Gao +2

Few-shot transfer has been revolutionized by stronger pre-trained models and improved adaptation algorithms.However, there lacks a unified, rigorous evaluation protocol that is bot…

cs.RO2026

Beyond the Majority: Long-tail Imitation Learning for Robotic Manipulation

Junhong Zhu, Ji Zhang, Jingkuan Song +2

While generalist robot policies hold significant promise for learning diverse manipulation skills through imitation, their performance is often hindered by the long-tail distributi…