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09/15/2023
Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes
We present an approach to estimating camera rotation in crowded, real-wo...
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06/29/2023
An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training
We present a model that can perform multiple vision tasks and can be ada...
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05/15/2023
Event Camera-based Visual Odometry for Dynamic Motion Tracking of a Legged Robot Using Adaptive Time Surface
Our paper proposes a direct sparse visual odometry method that combines ...
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01/18/2023
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Despite the advancement of machine learning techniques in recent years, ...
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12/15/2022
Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners
Optimization in multi-task learning (MTL) is more challenging than singl...
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12/15/2022
EVAL: Explainable Video Anomaly Localization
We develop a novel framework for single-scene video anomaly localization...
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04/21/2022
Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images
Automatic terrain recognition in Mars rover images is an important probl...
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02/28/2022
The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields
Both a good understanding of geometrical concepts and a broad familiarit...
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12/27/2021
SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds
We present SurFit, a simple approach for label efficient learning of 3D ...
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06/13/2021
The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data
Event cameras, inspired by biological vision systems, provide a natural ...
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06/06/2021
Towards Practical Mean Bounds for Small Samples
Historically, to bound the mean for small sample sizes, practitioners ha...
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05/09/2021
Passage Retrieval for Outside-Knowledge Visual Question Answering
In this work, we address multi-modal information needs that contain text...
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04/26/2021
Universal Off-Policy Evaluation
When faced with sequential decision-making problems, it is often useful ...
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03/31/2021
DCVNet: Dilated Cost Volume Networks for Fast Optical Flow
The cost volume, capturing the similarity of possible correspondences ac...
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12/16/2020
SID-NISM: A Self-supervised Low-light Image Enhancement Framework
When capturing images in low-light conditions, the images often suffer f...
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10/06/2020
Shot in the Dark: Few-Shot Learning with No Base-Class Labels
Few-shot learning aims to learn classifiers for new objects from a small...
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07/14/2020
Improving Face Recognition by Clustering Unlabeled Faces in the Wild
While deep face recognition has benefited significantly from large-scale...
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06/26/2020
Cross-Ssupervised Object Detection
After learning a new object category from image-level annotations (with ...
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06/26/2020
Cross-Supervised Object Detection
After learning a new object category from image-level annotations (with ...
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03/30/2020
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions
The problems of shape classification and part segmentation from 3D point...
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01/10/2020
In Defense of Grid Features for Visual Question Answering
Popularized as 'bottom-up' attention, bounding box (or region) based vis...
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10/27/2019
SENSE: a Shared Encoder Network for Scene-flow Estimation
We introduce a compact network for holistic scene flow estimation, calle...
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05/15/2019
A New Confidence Interval for the Mean of a Bounded Random Variable
We present a new method for constructing a confidence interval for the m...
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04/15/2019
Automatic adaptation of object detectors to new domains using self-training
This work addresses the unsupervised adaptation of an existing object de...
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04/10/2019
Pixel-Adaptive Convolutional Neural Networks
Convolutions are the fundamental building block of CNNs. The fact that t...
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02/14/2019
Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification
Zero-shot learning (ZSL) is one of the most extreme forms of learning fr...
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02/02/2019
Nonparametric Curve Alignment
Congealing is a flexible nonparametric data-driven framework for the joi...
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08/13/2018
Unsupervised Hard Example Mining from Videos for Improved Object Detection
Important gains have recently been obtained in object detection by using...
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12/13/2017
Self-Supervised Depth Learning for Urban Scene Understanding
As an agent moves through the world, the apparent motion of scene elemen...
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11/30/2017
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Given two consecutive frames, video interpolation aims at generating int...
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09/07/2017
End-to-end Face Detection and Cast Grouping in Movies Using Erdős-Rényi Clustering
We present an end-to-end system for detecting and clustering faces by id...
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04/24/2017
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples
Self-paced learning and hard example mining re-weight training instances...
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10/31/2016
A Detailed Rubric for Motion Segmentation
Motion segmentation is currently an active area of research in computer ...
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09/13/2016
Associating Grasp Configurations with Hierarchical Features in Convolutional Neural Networks
In this work, we provide a solution for posturing the anthropomorphic Ro...
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06/10/2016
Face Detection with the Faster R-CNN
The Faster R-CNN has recently demonstrated impressive results on various...
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04/01/2016
It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos
The human ability to detect and segment moving objects works in the pres...
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06/03/2015
One-to-many face recognition with bilinear CNNs
The recent explosive growth in convolutional neural network (CNN) resear...
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05/05/2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition
A longstanding question in computer vision concerns the representation o...
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07/02/2009
