15 citations · 44 across the 6 of their papers we have counts for
16 papers
Far3Det: Towards Far-Field 3D Detection
Shubham Gupta, Jeet Kanjani, Mengtian Li +4
We focus on the task of far-field 3D detection (Far3Det) of objects beyond a certain distance from an observer, e.g., 50m. Far3Det is particularly important for autonomous vehic…
Long-Tailed Recognition via Weight Balancing
Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan +1
In the real open world, data tends to follow long-tailed class distributions, motivating the well-studied long-tailed recognition (LTR) problem. Naive training produces models that…
OpenGAN: Open-Set Recognition via Open Data Generation
Shu Kong, Deva Ramanan
Real-world machine learning systems need to analyze test data that may differ from training data. In K-way classification, this is crisply formulated as open-set recognition, core…
Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias
Yunhan Zhao, Shu Kong, Charless Fowlkes
Monocular depth predictors are typically trained on large-scale training sets which are naturally biased w.r.t the distribution of camera poses. As a result, trained predictors fai…
Weak Supervision and Referring Attention for Temporal-Textual Association Learning
Zhiyuan Fang, Shu Kong, Zhe Wang +2
A system capturing the association between video frames and textual queries offer great potential for better video analysis. However, training such a system in a fully supervised w…
Celeganser: Automated Analysis of Nematode Morphology and Age
Linfeng Wang, Shu Kong, Zachary Pincus +1
The nematode Caenorhabditis elegans (C. elegans) serves as an important model organism in a wide variety of biological studies. In this paper we introduce a pipeline for automated…