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20242026
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cs.CV2026

Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization

Xuanyu Zhu, Yan Bai, Yang Shi +4

Representation autoencoders that reuse frozen pretrained vision encoders as visual tokenizers have achieved strong reconstruction and generation quality. However, existing methods…

cs.CV2026

MMVIAD: Multi-view Multi-task Video Understanding for Industrial Anomaly Detection

Xiran Zhao, Jing Jin, Yan Bai +6

Industrial anomaly detection is critical for manufacturing quality control, yet existing datasets mainly focus on static images or sparse views, which do not fully reflect continuo…

cs.CV2025

GLRD: Global-Local Collaborative Reason and Debate with PSL for 3D Open-Vocabulary Detection

Xingyu Peng, Si Liu, Chen Gao +4

The task of LiDAR-based 3D Open-Vocabulary Detection (3D OVD) requires the detector to learn to detect novel objects from point clouds without off-the-shelf training labels. Previo…

cs.CV2025

Training Video Foundation Models with NVIDIA NeMo

Zeeshan Patel, Ethan He, Parth Mannan +26

Video Foundation Models (VFMs) have recently been used to simulate the real world to train physical AI systems and develop creative visual experiences. However, there are significa…

cs.CV2024

Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection

Xingyu Peng, Yan Bai, Chen Gao +5

Open-Vocabulary Detection (OVD) is the task of detecting all interesting objects in a given scene without predefined object classes. Extensive work has been done to deal with the O…