activity
20162023
most citedDeep Convolutional Denoising of Low-Light Images

37 citations · 64 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV20231 cited

3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features

Chenfeng Xu, Huan Ling, Sanja Fidler +1

We present 3DiffTection, a state-of-the-art method for 3D object detection from single images, leveraging features from a 3D-aware diffusion model. Annotating large-scale image dat…

cs.CV202318 cited

EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

Jiawei Yang, Boris Ivanovic, Or Litany +8

We present EmerNeRF, a simple yet powerful approach for learning spatial-temporal representations of dynamic driving scenes. Grounded in neural fields, EmerNeRF simultaneously capt…

cs.CV2023

Towards Viewpoint Robustness in Bird's Eye View Segmentation

Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen +6

Autonomous vehicles (AV) require that neural networks used for perception be robust to different viewpoints if they are to be deployed across many types of vehicles without the rep…

cs.CV2023

Neural Kernel Surface Reconstruction

Jiahui Huang, Zan Gojcic, Matan Atzmon +3

We present a novel method for reconstructing a 3D implicit surface from a large-scale, sparse, and noisy point cloud. Our approach builds upon the recently introduced Neural Kernel…

cs.CV20231 cited

Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids

Wei Dong, Chris Choy, Charles Loop +3

Indoor scene reconstruction from monocular images has long been sought after by augmented reality and robotics developers. Recent advances in neural field representations and monoc…

cs.CV20231 cited

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion

Davis Rempe, Zhengyi Luo, Xue Bin Peng +5

We introduce a method for generating realistic pedestrian trajectories and full-body animations that can be controlled to meet user-defined goals. We draw on recent advances in gui…