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08/03/2023
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition with Limited Annotations
Multi-label image recognition in the low-label regime is a task of great...
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06/30/2023
Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing
Vision transformers (ViTs) have significantly changed the computer visio...
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11/29/2022
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing
Modern deep neural networks tend to be evaluated on static test sets. On...
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04/25/2022
Temporal Relevance Analysis for Video Action Models
In this paper, we provide a deep analysis of temporal modeling for actio...
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04/07/2022
Many-to-many Splatting for Efficient Video Frame Interpolation
Motion-based video frame interpolation commonly relies on optical flow t...
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04/01/2022
A Unified Framework for Domain Adaptive Pose Estimation
While pose estimation is an important computer vision task, it requires ...
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03/22/2022
A Broad Study of Pre-training for Domain Generalization and Adaptation
Deep models must learn robust and transferable representations in order ...
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08/26/2021
Learning Cross-modal Contrastive Features for Video Domain Adaptation
Learning transferable and domain adaptive feature representations from v...
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08/24/2021
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density
Unsupervised domain adaptation (UDA) methods can dramatically improve ge...
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06/08/2021
Simulated Adversarial Testing of Face Recognition Models
Most machine learning models are validated and tested on fixed datasets....
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01/12/2021
CityFlow-NL: Tracking and Retrieval of Vehicles at City Scale by Natural Language Descriptions
Natural Language (NL) descriptions can be the most convenient or the onl...
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08/01/2020
Self-supervised Visual Attribute Learning for Fashion Compatibility
Many self-supervised learning (SSL) methods have been successful in lear...
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07/07/2020
Real-time Semantic Segmentation with Fast Attention
In deep CNN based models for semantic segmentation, high accuracy relies...
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06/11/2020
Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks
In this work, we develop efficient disruptions of black-box image transl...
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04/03/2020
Temporally Distributed Networks for Fast Video Segmentation
We present TDNet, a temporally distributed network designed for fast and...
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04/03/2020
Temporally Distributed Networks for Fast Video Semantic Segmentation
We present TDNet, a temporally distributed network designed for fast and...
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04/01/2020
Spatio-Temporal Action Detection with Multi-Object Interaction
Spatio-temporal action detection in videos requires localizing the actio...
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03/18/2020
Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels
Existing unsupervised domain adaptation methods aim to transfer knowledg...
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03/13/2020
Explainable Deep Classification Models for Domain Generalization
Conventionally, AI models are thought to trade off explainability for lo...
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03/03/2020
Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems
Face modification systems using deep learning have become increasingly p...
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02/19/2020
Universal Domain Adaptation through Self Supervision
Unsupervised domain adaptation methods traditionally assume that all sou...
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02/18/2020
Multi-Task Learning from Videos via Efficient Inter-Frame Attention
Prior work in multi-task learning has mainly focused on predictions on a...
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02/12/2020
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System
In the context of building an intelligent tutoring system (ITS), which i...
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12/23/2019
DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition
In this work, we address the problem of learning an ensemble of speciali...
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12/04/2019
Robust Visual Object Tracking with Natural Language Region Proposal Network
Tracking with natural-language (NL) specification is a powerful new para...
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09/08/2019
MULE: Multimodal Universal Language Embedding
Existing vision-language methods typically support two languages at a ti...
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08/17/2019
Language Features Matter: Effective Language Representations for Vision-Language Tasks
Shouldn't language and vision features be treated equally in vision-lang...
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07/26/2019
Tell Me What to Track
In recent years, deep-learning-based visual object trackers have been st...
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06/11/2019
Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition
Learning from a few examples is a challenging task for machine learning....
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06/05/2019
Multi-way Encoding for Robustness
Deep models are state-of-the-art for many computer vision tasks includin...
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04/13/2019
Semi-supervised Domain Adaptation via Minimax Entropy
Contemporary domain adaptation methods are very effective at aligning fe...
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12/06/2018
Guided Zoom: Questioning Network Evidence for Fine-grained Classification
We propose Guided Zoom, an approach that utilizes spatial grounding to m...
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11/17/2018
Open-vocabulary Phrase Detection
Most existing work that grounds natural language phrases in images start...
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11/16/2018
Learning Where to Fixate on Foveated Images
Foveation, the ability to sequentially acquire high-acuity regions of a ...
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08/06/2018
Hashing with Binary Matrix Pursuit
We propose theoretical and empirical improvements for two-stage hashing ...
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05/23/2018
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
We propose a guided dropout regularizer for deep networks based on the e...
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04/15/2018
Local Descriptors Optimized for Average Precision
Extraction of local feature descriptors is a vital stage in the solution...
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04/13/2018
Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning
We propose a novel method capable of retrieving clips from untrimmed vid...
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03/02/2018
Hashing with Mutual Information
Binary vector embeddings enable fast nearest neighbor retrieval in large...
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11/18/2017
Excitation Backprop for RNNs
Deep models are state-of-the-art for many vision tasks including video a...
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05/23/2017
Hashing as Tie-Aware Learning to Rank
Hashing, or learning binary embeddings of data, is frequently used in ne...
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03/27/2017
MIHash: Online Hashing with Mutual Information
Learning-based hashing methods are widely used for nearest neighbor retr...
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02/02/2017
Automating Image Analysis by Annotating Landmarks with Deep Neural Networks
Image and video analysis is often a crucial step in the study of animal ...
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08/01/2016
Top-down Neural Attention by Excitation Backprop
We aim to model the top-down attention of a Convolutional Neural Network...
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07/26/2016
Salient Object Subitizing
We study the problem of Salient Object Subitizing, i.e. predicting the e...
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12/22/2015
Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web
Recently, attempts have been made to collect millions of videos to train...
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11/10/2015
Online Supervised Hashing for Ever-Growing Datasets
Supervised hashing methods are widely-used for nearest neighbor search i...
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06/25/2015
Generalized Majorization-Minimization
Non-convex optimization is ubiquitous in machine learning. The Majorizat...
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03/04/2015
Class Probability Estimation via Differential Geometric Regularization
We study the problem of supervised learning for both binary and multicla...
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07/23/2014