28 citations · 69 across the 6 of their papers we have counts for
6 papers
4DP-QA: Scalable QA for 4D Perception in Vision Language Models
Seokju Cho, Abhishek Badki, Hang Su +5
Despite recent advances, Vision Language Models (VLMs) still struggle to grasp the dynamics of the world. We note that the ability to reason about a 4D scene, challenging in itself…
iQuery: Instruments as Queries for Audio-Visual Sound Separation
Jiaben Chen, Renrui Zhang, Dongze Lian +3
Current audio-visual separation methods share a standard architecture design where an audio encoder-decoder network is fused with visual encoding features at the encoder bottleneck…
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
Xiangyang Zhu, Renrui Zhang, Bowei He +5
Large-scale pre-trained models have shown promising open-world performance for both vision and language tasks. However, their transferred capacity on 3D point clouds is still limit…
Can Language Understand Depth?
Renrui Zhang, Ziyao Zeng, Ziyu Guo +1
Besides image classification, Contrastive Language-Image Pre-training (CLIP) has accomplished extraordinary success for a wide range of vision tasks, including object-level and 3D…
VT-CLIP: Enhancing Vision-Language Models with Visual-guided Texts
Longtian Qiu, Renrui Zhang, Ziyu Guo +4
Contrastive Language-Image Pre-training (CLIP) has drawn increasing attention recently for its transferable visual representation learning. However, due to the semantic gap within…
DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion
Renrui Zhang, Ziyao Zeng, Ziyu Guo +3
Point cloud processing is a challenging task due to its sparsity and irregularity. Prior works introduce delicate designs on either local feature aggregator or global geometric arc…