research
∙
12/24/2022
HandsOff: Labeled Dataset Generation With No Additional Human Annotations
Recent work leverages the expressive power of generative adversarial net...
share
research
∙
11/16/2022
Towards Long-Tailed 3D Detection
Contemporary autonomous vehicle (AV) benchmarks have advanced techniques...
research
∙
10/04/2022
Dfferentiable Raycasting for Self-supervised Occupancy Forecasting
Motion planning for safe autonomous driving requires learning how the en...
research
∙
09/25/2022
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video
Multiple existing benchmarks involve tracking and segmenting objects in ...
research
∙
05/03/2022
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
Contrastively trained image-text models such as CLIP, ALIGN, and BASIC h...
research
∙
02/01/2021
Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details
By design, average precision (AP) for object detection aims to treat all...
research
∙
12/15/2020
Detecting Invisible People
Monocular object detection and tracking have improved drastically in rec...
research
∙
07/01/2020
Measuring Robustness to Natural Distribution Shifts in Image Classification
We study how robust current ImageNet models are to distribution shifts a...
research
∙
05/20/2020
TAO: A Large-Scale Benchmark for Tracking Any Object
For many years, multi-object tracking benchmarks have focused on a handf...
research
∙
10/25/2019
Learning to Track Any Object
Object tracking can be formulated as "finding the right object in a vide...
research
∙
06/05/2019
A systematic framework for natural perturbations from videos
We introduce a systematic framework for quantifying the robustness of cl...
research
∙
02/11/2019
Towards Segmenting Everything That Moves
Video analysis is the task of perceiving the world as it changes. Often,...
research
∙
04/12/2017