Erik Learned-Miller

research

∙ 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...

0 Fabien Delattre, et al. ∙

research

∙ 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...

0 Zitian Chen, et al. ∙

research

∙ 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 ...

0 Shifan Zhu, et al. ∙

research

∙ 01/18/2023

A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems

Despite the advancement of machine learning techniques in recent years, ...

9 Megan M. Baker, et al. ∙

research

∙ 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...

1 Zitian Chen, et al. ∙

research

∙ 12/15/2022

EVAL: Explainable Video Anomaly Localization

We develop a novel framework for single-scene video anomaly localization...

0 Ashish Singh, et al. ∙

research

∙ 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...

18 Tejas Panambur, et al. ∙

research

∙ 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...

7 Pia Bideau, et al. ∙

research

∙ 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 ...

14 Gopal Sharma, et al. ∙

research

∙ 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 ...

0 Cheng Gu, et al. ∙

research

∙ 06/06/2021

Towards Practical Mean Bounds for Small Samples

Historically, to bound the mean for small sample sizes, practitioners ha...

0 My Phan, et al. ∙

research

∙ 05/09/2021

Passage Retrieval for Outside-Knowledge Visual Question Answering

In this work, we address multi-modal information needs that contain text...

0 Chen Qu, et al. ∙

research

∙ 04/26/2021

Universal Off-Policy Evaluation

When faced with sequential decision-making problems, it is often useful ...

0 Yash Chandak, et al. ∙

research

∙ 03/31/2021

DCVNet: Dilated Cost Volume Networks for Fast Optical Flow

The cost volume, capturing the similarity of possible correspondences ac...

3 Huaizu Jiang, et al. ∙

research

∙ 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...

0 Lijun Zhang, et al. ∙

research

∙ 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...

18 Zitian Chen, et al. ∙

research

∙ 07/14/2020

Improving Face Recognition by Clustering Unlabeled Faces in the Wild

While deep face recognition has benefited significantly from large-scale...

18 Aruni RoyChowdhury, et al. ∙

research

∙ 06/26/2020

Cross-Ssupervised Object Detection

After learning a new object category from image-level annotations (with ...

17 Zitian Chen, et al. ∙

research

∙ 06/26/2020

Cross-Supervised Object Detection

After learning a new object category from image-level annotations (with ...

6 Zitian Chen, et al. ∙

research

∙ 03/30/2020

Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions

The problems of shape classification and part segmentation from 3D point...

2 Matheus Gadelha, et al. ∙

research

∙ 01/10/2020

In Defense of Grid Features for Visual Question Answering

Popularized as 'bottom-up' attention, bounding box (or region) based vis...

7 Huaizu Jiang, et al. ∙

research

∙ 10/27/2019

SENSE: a Shared Encoder Network for Scene-flow Estimation

We introduce a compact network for holistic scene flow estimation, calle...

17 Huaizu Jiang, et al. ∙

research

∙ 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...

0 Erik Learned-Miller, et al. ∙

research

∙ 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...

16 Aruni RoyChowdhury, et al. ∙

research

∙ 04/10/2019

Pixel-Adaptive Convolutional Neural Networks

Convolutions are the fundamental building block of CNNs. The fact that t...

8 Hang Su, et al. ∙

research

∙ 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...

12 Colin Samplawski, et al. ∙

research

∙ 02/02/2019

Nonparametric Curve Alignment

Congealing is a flexible nonparametric data-driven framework for the joi...

14 Marwan Mattar, et al. ∙

research

∙ 08/13/2018

Unsupervised Hard Example Mining from Videos for Improved Object Detection

Important gains have recently been obtained in object detection by using...

0 SouYoung Jin, et al. ∙

research

∙ 12/13/2017

Self-Supervised Depth Learning for Urban Scene Understanding

As an agent moves through the world, the apparent motion of scene elemen...

0 Huaizu Jiang, et al. ∙

research

∙ 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...

0 Huaizu Jiang, et al. ∙

research

∙ 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...

0 SouYoung Jin, et al. ∙

research

∙ 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...

0 Haw-Shiuan Chang, et al. ∙

research

∙ 10/31/2016

A Detailed Rubric for Motion Segmentation

Motion segmentation is currently an active area of research in computer ...

0 Pia Bideau, et al. ∙

research

∙ 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...

0 Li Yang Ku, et al. ∙

research

∙ 06/10/2016

Face Detection with the Faster R-CNN

The Faster R-CNN has recently demonstrated impressive results on various...

0 Huaizu Jiang, et al. ∙

research

∙ 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...

0 Pia Bideau, et al. ∙

research

∙ 06/03/2015

One-to-many face recognition with bilinear CNNs

The recent explosive growth in convolutional neural network (CNN) resear...

0 Aruni RoyChowdhury, et al. ∙

research

∙ 05/05/2015

Multi-view Convolutional Neural Networks for 3D Shape Recognition

A longstanding question in computer vision concerns the representation o...

0 Hang Su, et al. ∙

research

∙ 07/02/2009

Bounding the Probability of Error for High Precision Recognition

We consider models for which it is important, early in processing, to es...

0 Andrew Kae, et al. ∙

Erik Learned-Miller

Featured Co-authors