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08/25/2023
Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers
Vision Transformers achieve impressive accuracy across a range of visual...
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08/15/2023
A Review of Adversarial Attacks in Computer Vision
Deep neural networks have been widely used in various downstream tasks, ...
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07/05/2023
NMS Threshold matters for Ego4D Moment Queries – 2nd place solution to the Ego4D Moment Queries Challenge 2023
This report describes our submission to the Ego4D Moment Queries Challen...
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05/25/2023
SimHaze: game engine simulated data for real-world dehazing
Deep models have demonstrated recent success in single-image dehazing. M...
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03/31/2023
Learning Procedure-aware Video Representation from Instructional Videos and Their Narrations
The abundance of instructional videos and their narrations over the Inte...
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03/13/2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
Recent state-of-the-art methods in imbalanced semi-supervised learning (...
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11/16/2022
Where a Strong Backbone Meets Strong Features – ActionFormer for Ego4D Moment Queries Challenge
This report describes our submission to the Ego4D Moment Queries Challen...
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11/16/2022
A Simple Transformer-Based Model for Ego4D Natural Language Queries Challenge
This report describes Badgers@UW-Madison, our submission to the Ego4D Na...
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11/09/2022
3D Scene Inference from Transient Histograms
Time-resolved image sensors that capture light at pico-to-nanosecond tim...
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10/15/2022
mRI: Multi-modal 3D Human Pose Estimation Dataset using mmWave, RGB-D, and Inertial Sensors
The ability to estimate 3D human body pose and movement, also known as h...
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10/05/2022
Particle clustering in turbulence: Prediction of spatial and statistical properties with deep learning
We demonstrate the utility of deep learning for modeling the clustering ...
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07/24/2022
Robust Scene Inference under Noise-Blur Dual Corruptions
Scene inference under low-light is a challenging problem due to severe n...
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06/28/2022
Reconstructing the Universe with Variational self-Boosted Sampling
Forward modeling approaches in cosmology have made it possible to recons...
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06/13/2022
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning
Recent state-of-the-art methods in semi-supervised learning (SSL) combin...
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06/09/2022
Field Level Neural Network Emulator for Cosmological N-body Simulations
We build a field level emulator for cosmic structure formation that is a...
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06/09/2022
Simple lessons from complex learning: what a neural network model learns about cosmic structure formation
We train a neural network model to predict the full phase space evolutio...
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05/03/2022
Physics to the Rescue: Deep Non-line-of-sight Reconstruction for High-speed Imaging
Computational approach to imaging around the corner, or non-line-of-sigh...
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02/16/2022
ActionFormer: Localizing Moments of Actions with Transformers
Self-attention based Transformer models have demonstrated impressive res...
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01/04/2022
The CAMELS project: public data release
The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS...
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12/24/2021
Virtuoso: Video-based Intelligence for real-time tuning on SOCs
Efficient and adaptive computer vision systems have been proposed to mak...
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12/16/2021
RegionCLIP: Region-based Language-Image Pretraining
Contrastive language-image pretraining (CLIP) using image-text pairs has...
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11/30/2021
3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image
Visual content creation has spurred a soaring interest given its applica...
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11/11/2021
Super-resolving Dark Matter Halos using Generative Deep Learning
Generative deep learning methods built upon Convolutional Neural Network...
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09/22/2021
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence
We present the Cosmology and Astrophysics with MachinE Learning Simulati...
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09/21/2021
Robust marginalization of baryonic effects for cosmological inference at the field level
We train neural networks to perform likelihood-free inference from (25 h...
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09/20/2021
Multifield Cosmology with Artificial Intelligence
Astrophysical processes such as feedback from supernovae and active gala...
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09/16/2021
Towards Non-Line-of-Sight Photography
Non-line-of-sight (NLOS) imaging is based on capturing the multi-bounce ...
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09/06/2021
Learning to Generate Scene Graph from Natural Language Supervision
Learning from image-text data has demonstrated recent success for many r...
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08/03/2021
Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detection
Modern deep learning models require large amounts of accurately annotate...
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06/28/2021
Hyperspectral Remote Sensing Image Classification Based on Multi-scale Cross Graphic Convolution
The mining and utilization of features directly affect the classificatio...
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06/02/2021
Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes
Among the most extreme objects in the Universe, active galactic nuclei (...
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05/20/2021
Egocentric Activity Recognition and Localization on a 3D Map
Given a video captured from a first person perspective and recorded in a...
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04/07/2021
Prism: Private Verifiable Set Computation over Multi-Owner Outsourced Databases
This paper proposes Prism, a secret sharing based approach to compute pr...
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02/07/2021
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention
Transformers have emerged as a powerful tool for a broad range of natura...
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11/17/2020
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning
Whole slide images (WSIs) have large resolutions and usually lack locali...
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10/21/2020
ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles
Advanced video analytic systems, including scene classification and obje...
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07/23/2020
Comprehensive Image Captioning via Scene Graph Decomposition
We address the challenging problem of image captioning by revisiting the...
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07/03/2020
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation
Weakly supervised phrase grounding aims at learning region-phrase corres...
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05/31/2020
In the Eye of the Beholder: Gaze and Actions in First Person Video
We address the task of jointly determining what a person is doing and wh...
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05/21/2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping
We present an interpretable deep model for fine-grained visual recogniti...
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04/27/2020
Obscure: Information-Theoretically Secure, Oblivious, and Verifiable Aggregation Queries on Secret-Shared Outsourced Data – Full Version
Despite exciting progress on cryptography, secure and efficient query pr...
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04/12/2020
Gradients as Features for Deep Representation Learning
We address the challenging problem of deep representation learning–the e...
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11/25/2019
Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Egocentric Activity
We address the challenging task of anticipating human-object interaction...
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08/08/2019
Semi Supervised Phrase Localization in a Bidirectional Caption-Image Retrieval Framework
We introduce a novel deep neural network architecture that links visual ...
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04/05/2019
Paying More Attention to Motion: Attention Distillation for Learning Video Representations
We address the challenging problem of learning motion representations us...
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11/15/2018
Learning to Predict the Cosmological Structure Formation
Matter evolved under influence of gravity from minuscule density fluctua...
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05/10/2018
Learning to Grasp Without Seeing
Can a robot grasp an unknown object without seeing it? In this paper, we...
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01/31/2018
Privacy-Preserving Secret Shared Computations using MapReduce
Data outsourcing allows data owners to keep their data at untrusted clou...
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01/08/2018
Deep Crisp Boundaries: From Boundaries to Higher-level Tasks
Edge detection has made significant progress with the help of deep Convo...
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04/11/2017
