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07/04/2023
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality
Given an image set without any labels, our goal is to train a model that...
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04/17/2023
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping
We study learning object segmentation from unlabeled videos. Humans can ...
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03/13/2023
The Audio-Visual BatVision Dataset for Research on Sight and Sound
Vision research showed remarkable success in understanding our world, pr...
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01/26/2023
Cut and Learn for Unsupervised Object Detection and Instance Segmentation
We propose Cut-and-LEaRn (CutLER), a simple approach for training unsupe...
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12/21/2022
High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting
Magnetic Resonance Fingerprinting (MRF) is an efficient quantitative MRI...
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12/17/2022
Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy
We present IMAS, a method that segments the primary objects in videos wi...
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12/07/2022
Tracking the Dynamics of the Tear Film Lipid Layer
Dry Eye Disease (DED) is one of the most common ocular diseases: over fi...
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11/21/2022
Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models
Multi-spectral imagery is invaluable for remote sensing due to different...
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10/01/2022
CAST: Concurrent Recognition and Segmentation with Adaptive Segment Tokens
Recognizing an image and segmenting it into coherent regions are often t...
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09/06/2022
Unsupervised Scene Sketch to Photo Synthesis
Sketches make an intuitive and powerful visual expression as they are fa...
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08/17/2022
Open Long-Tailed Recognition in a Dynamic World
Real world data often exhibits a long-tailed and open-ended (with unseen...
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04/25/2022
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers
Unsupervised semantic segmentation aims to discover groupings within and...
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01/05/2022
Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning
This work studies the bias issue of pseudo-labeling, a natural phenomeno...
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12/02/2021
Co-domain Symmetry for Complex-Valued Deep Learning
We study complex-valued scaling as a type of symmetry natural and unique...
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11/11/2021
The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos
Humans can easily segment moving objects without knowing what they are. ...
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10/06/2021
Data-Centric Semi-Supervised Learning
We study unsupervised data selection for semi-supervised learning (SSL),...
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07/23/2021
Free Hyperbolic Neural Networks with Limited Radii
Non-Euclidean geometry with constant negative curvature, i.e., hyperboli...
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07/15/2021
Recurrent Parameter Generators
We present a generic method for recurrently using the same parameters fo...
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05/19/2021
Unsupervised Discriminative Learning of Sounds for Audio Event Classification
Recent progress in network-based audio event classification has shown th...
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05/05/2021
Iterative Human and Automated Identification of Wildlife Images
Camera trapping is increasingly used to monitor wildlife, but this techn...
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05/03/2021
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
Weakly supervised segmentation requires assigning a label to every pixel...
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04/07/2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning
Vision-based reinforcement learning (RL) is successful, but how to gener...
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03/06/2021
Memory-efficient Learning for High-Dimensional MRI Reconstruction
Deep learning (DL) based unrolled reconstructions have shown state-of-th...
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10/05/2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Natural data are often long-tail distributed over semantic classes. Exis...
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09/25/2020
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters
Convolution is the main building block of convolutional neural networks ...
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08/09/2020
Unsupervised Feature Learning by Cross-Level Discrimination between Instances and Groups
Unsupervised feature learning has made great strides with invariant mapp...
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06/17/2020
3D Shape Reconstruction from Free-Hand Sketches
Sketches are the most abstract 2D representations of real-world objects....
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11/27/2019
Orthogonal Convolutional Neural Networks
The instability and feature redundancy in CNNs hinders further performan...
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10/29/2019
POIRot: A rotation invariant omni-directional pointnet
Point-cloud is an efficient way to represent 3D world. Analysis of point...
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10/15/2019
SegSort: Segmentation by Discriminative Sorting of Segments
Almost all existing deep learning approaches for semantic segmentation t...
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10/14/2019
Building Information Modeling and Classification by Visual Learning At A City Scale
In this paper, we provide two case studies to demonstrate how artificial...
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09/08/2019
Compound Domain Adaptation in an Open World
Existing works on domain adaptation often assume clear boundaries betwee...
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06/26/2019
Spatial Transformer for 3D Points
Point cloud is an efficient representation of 3D visual data, and enable...
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06/24/2019
SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning
We develop a novel deep learning architecture for naturally complex-valu...
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04/10/2019
Large-Scale Long-Tailed Recognition in an Open World
Real world data often have a long-tailed and open-ended distribution. A ...
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08/14/2018
Improving Generalization via Scalable Neighborhood Component Analysis
Current major approaches to visual recognition follow an end-to-end form...
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05/18/2018
Adversarial Structure Matching Loss for Image Segmentation
The per-pixel cross-entropy loss (CEL) has been widely used in structure...
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03/30/2018
Learning Beyond Human Expertise with Generative Models for Dental Restorations
Computer vision has advanced significantly that many discriminative appr...
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03/27/2018
Adaptive Affinity Field for Semantic Segmentation
Existing semantic segmentation methods mostly rely on per-pixel supervis...
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12/05/2017
Joint Embedding and Classification for SAR Target Recognition
Deep learning can be an effective and efficient means to automatically d...
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07/01/2017
Better than Real: Complex-valued Neural Nets for MRI Fingerprinting
The task of MRI fingerprinting is to identify tissue parameters from com...
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12/27/2016
Learning Non-Lambertian Object Intrinsics across ShapeNet Categories
We consider the non-Lambertian object intrinsic problem of recovering di...
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11/23/2016
Multigrid Neural Architectures
We propose a multigrid extension of convolutional neural networks (CNNs)...
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11/16/2016
Am I a Baller? Basketball Performance Assessment from First-Person Videos
This paper presents a method to assess a basketball player's performance...
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11/16/2016
Unsupervised Learning of Important Objects from First-Person Videos
A first-person camera, placed at a person's head, captures, which object...
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05/24/2016
Convolutional Random Walk Networks for Semantic Image Segmentation
Most current semantic segmentation methods rely on fully convolutional n...
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05/21/2016
Fine-to-coarse Knowledge Transfer For Low-Res Image Classification
We address the difficult problem of distinguishing fine-grained object c...
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03/15/2016
First Person Action-Object Detection with EgoNet
Unlike traditional third-person cameras mounted on robots, a first-perso...
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12/09/2015
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding
Spectral embedding provides a framework for solving perceptual organizat...
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12/08/2015
