4 citations · 5 across the 5 of their papers we have counts for
6 papers
Generating a Paracosm for Training-Free Zero-Shot Composed Image Retrieval
Tong Wang, Yunhan Zhao, Shu Kong
Composed Image Retrieval (CIR) is the task of retrieving a target image from a database using a multimodal query, which consists of a reference image and a modification text. The t…
RayFusion: Ray Fusion Enhanced Collaborative Visual Perception
Shaohong Wang, Bin Lu, Xinyu Xiao +6
Collaborative visual perception methods have gained widespread attention in the autonomous driving community in recent years due to their ability to address sensor limitation probl…
Instance Migration Diffusion for Nuclear Instance Segmentation in Pathology
Lirui Qi, Hongliang He, Tong Wang +2
Nuclear instance segmentation plays a vital role in disease diagnosis within digital pathology. However, limited labeled data in pathological images restricts the overall performan…
Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning
Kaiyou Song, Shan Zhang, Tong Wang
The development of autoregressive modeling (AM) in computer vision lags behind natural language processing (NLP) in self-supervised pre-training. This is mainly caused by the chall…
Adaptive Multi-NeRF: Exploit Efficient Parallelism in Adaptive Multiple Scale Neural Radiance Field Rendering
Tong Wang, Shuichi Kurabayashi
Recent advances in Neural Radiance Fields (NeRF) have demonstrated significant potential for representing 3D scene appearances as implicit neural networks, enabling the synthesis o…
DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
Haochen Wang, Junsong Fan, Yuxi Wang +3
As it is empirically observed that Vision Transformers (ViTs) are quite insensitive to the order of input tokens, the need for an appropriate self-supervised pretext task that enha…