4 papers · 1 filter
B-VLLM: A Vision Large Language Model with Balanced Spatio-Temporal Tokens
Zhuqiang Lu, Zhenfei Yin, Mengwei He +4
Recently, Vision Large Language Models (VLLMs) integrated with vision encoders have shown promising performance in vision understanding. The key of VLLMs is to encode visual conten…
Similarity Guided Multimodal Fusion Transformer for Semantic Location Prediction in Social Media
Zhizhen Zhang, Ning Wang, Haojie Li +1
Semantic location prediction aims to derive meaningful location insights from multimodal social media posts, offering a more contextual understanding of daily activities than using…
Is a Pure Transformer Effective for Separated and Online Multi-Object Tracking?
Chongwei Liu, Haojie Li, Zhihui Wang +1
Recent advances in Multi-Object Tracking (MOT) have demonstrated significant success in short-term association within the separated tracking-by-detection online paradigm. However,…
Learning Pixel-wise Continuous Depth Representation via Clustering for Depth Completion
Chen Shenglun, Zhang Hong, Ma XinZhu +2
Depth completion is a long-standing challenge in computer vision, where classification-based methods have made tremendous progress in recent years. However, most existing classific…