activity
20172023
most citedUncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

280 citations · 670 across the 19 of their papers we have counts for

collaborators
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29 papers · 1 filter

cs.CV20236 cited

FB-BEV: BEV Representation from Forward-Backward View Transformations

Zhiqi Li, Zhiding Yu, Wenhai Wang +3

View Transformation Module (VTM), where transformations happen between multi-view image features and Bird-Eye-View (BEV) representation, is a crucial step in camera-based BEV perce…

cs.CV20235 cited

FocalFormer3D : Focusing on Hard Instance for 3D Object Detection

Yilun Chen, Zhiding Yu, Yukang Chen +4

False negatives (FN) in 3D object detection, {\em e.g.}, missing predictions of pedestrians, vehicles, or other obstacles, can lead to potentially dangerous situations in autonomou…

cs.CV2023

FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation

Zhiqi Li, Zhiding Yu, David Austin +4

This technical report summarizes the winning solution for the 3D Occupancy Prediction Challenge, which is held in conjunction with the CVPR 2023 Workshop on End-to-End Autonomous D…

cs.CV2023

Differentially Private Video Activity Recognition

Zelun Luo, Yuliang Zou, Yijin Yang +6

In recent years, differential privacy has seen significant advancements in image classification; however, its application to video activity recognition remains under-explored. This…

cs.CV20231 cited

Real-Time Radiance Fields for Single-Image Portrait View Synthesis

Alex Trevithick, Matthew Chan, Michael Stengel +7

We present a one-shot method to infer and render a photorealistic 3D representation from a single unposed image (e.g., face portrait) in real-time. Given a single RGB input, our im…

cs.CV20238 cited

VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion

Yiming Li, Zhiding Yu, Christopher Choy +5

Humans can easily imagine the complete 3D geometry of occluded objects and scenes. This appealing ability is vital for recognition and understanding. To enable such capability in A…