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07/07/2023
Language-free Compositional Action Generation via Decoupling Refinement
Composing simple elements into complex concepts is crucial yet challengi...
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05/27/2023
Graph Inductive Biases in Transformers without Message Passing
Transformers for graph data are increasingly widely studied and successf...
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05/16/2023
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?
We revisit the common practice of evaluating adaptation of Online Contin...
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04/05/2023
HNeRV: A Hybrid Neural Representation for Videos
Implicit neural representations store videos as neural networks and have...
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03/24/2023
Towards Scalable Neural Representation for Diverse Videos
Implicit neural representations (INR) have gained increasing attention i...
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03/21/2023
Detecting Everything in the Open World: Towards Universal Object Detection
In this paper, we formally address universal object detection, which aim...
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03/20/2023
Open-vocabulary Panoptic Segmentation with Embedding Modulation
Open-vocabulary image segmentation is attracting increasing attention du...
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03/20/2023
ScribbleSeg: Scribble-based Interactive Image Segmentation
Interactive segmentation enables users to extract masks by providing sim...
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03/20/2023
Computationally Budgeted Continual Learning: What Does Matter?
Continual Learning (CL) aims to sequentially train models on streams of ...
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02/22/2023
Distribution Normalization: An "Effortless" Test-Time Augmentation for Contrastively Learned Visual-language Models
Advances in the field of visual-language contrastive learning have made ...
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01/10/2023
Online Backfilling with No Regret for Large-Scale Image Retrieval
Backfilling is the process of re-extracting all gallery embeddings from ...
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11/28/2022
PyTorch Adapt
PyTorch Adapt is a library for domain adaptation, a type of machine lear...
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11/18/2022
CNeRV: Content-adaptive Neural Representation for Visual Data
Compression and reconstruction of visual data have been widely studied i...
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11/08/2022
BT^2: Backward-compatible Training with Basis Transformation
Modern retrieval system often requires recomputing the representation of...
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10/05/2022
GAPX: Generalized Autoregressive Paraphrase-Identification X
Paraphrase Identification is a fundamental task in Natural Language Proc...
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09/26/2022
Diversified Dynamic Routing for Vision Tasks
Deep learning models for vision tasks are trained on large datasets unde...
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09/26/2022
Totems: Physical Objects for Verifying Visual Integrity
We introduce a new approach to image forensics: placing physical refract...
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09/24/2022
Raising the Bar on the Evaluation of Out-of-Distribution Detection
In image classification, a lot of development has happened in detecting ...
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08/15/2022
Benchmarking Validation Methods for Unsupervised Domain Adaptation
This paper compares and ranks 11 UDA validation methods. Validators esti...
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07/28/2022
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
Recent progress in vision Transformers exhibits great success in various...
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07/13/2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration
It is now well known that neural networks can be wrong with high confide...
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06/29/2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness
We show that the effectiveness of the well celebrated Mixup [Zhang et al...
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05/27/2022
Spartan: Differentiable Sparsity via Regularized Transportation
We present Spartan, a method for training sparse neural network models w...
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05/18/2022
VRAG: Region Attention Graphs for Content-Based Video Retrieval
Content-based Video Retrieval (CBVR) is used on media-sharing platforms ...
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03/28/2022
ObjectFormer for Image Manipulation Detection and Localization
Recent advances in image editing techniques have posed serious challenge...
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03/23/2022
Visual Prompt Tuning
The current modus operandi in adapting pre-trained models involves updat...
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03/15/2022
Task-Agnostic Robust Representation Learning
It has been reported that deep learning models are extremely vulnerable ...
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12/15/2021
Rethinking Nearest Neighbors for Visual Classification
Neural network classifiers have become the de-facto choice for current "...
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12/02/2021
Object-Centric Unsupervised Image Captioning
Training an image captioning model in an unsupervised manner without uti...
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11/30/2021
Unsupervised Domain Adaptation: A Reality Check
Interest in unsupervised domain adaptation (UDA) has surged in recent ye...
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11/30/2021
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition
Built on top of self-attention mechanisms, vision transformers have demo...
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10/28/2021
Learning to Ground Multi-Agent Communication with Autoencoders
Communication requires having a common language, a lingua franca, betwee...
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10/27/2021
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Many widely used datasets for graph machine learning tasks have generall...
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10/26/2021
A Frequency Perspective of Adversarial Robustness
Adversarial examples pose a unique challenge for deep learning systems. ...
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10/26/2021
NeRV: Neural Representations for Videos
We propose a novel neural representation for videos (NeRV) which encodes...
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09/28/2021
When in Doubt: Improving Classification Performance with Alternating Normalization
We introduce Classification with Alternating Normalization (CAN), a non-...
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07/19/2021
Equivariant Manifold Flows
Tractably modelling distributions over manifolds has long been an import...
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06/30/2021
Edge Proposal Sets for Link Prediction
Graphs are a common model for complex relational data such as social net...
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04/16/2021
Cross-Modal Retrieval Augmentation for Multi-Modal Classification
Recent advances in using retrieval components over external knowledge so...
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04/15/2021
Exploring Visual Engagement Signals for Representation Learning
Visual engagement in social media platforms comprises interactions with ...
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04/08/2021
Multimodal Fusion Refiner Networks
Tasks that rely on multi-modal information typically include a fusion mo...
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04/03/2021
New Benchmarks for Learning on Non-Homophilous Graphs
Much data with graph structures satisfy the principle of homophily, mean...
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03/25/2021
THAT: Two Head Adversarial Training for Improving Robustness at Scale
Many variants of adversarial training have been proposed, with most rese...
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01/26/2021
Deep Video Inpainting Detection
This paper studies video inpainting detection, which localizes an inpain...
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12/15/2020
GTA: Global Temporal Attention for Video Action Understanding
Self-attention learns pairwise interactions via dot products to model lo...
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11/17/2020
Analyzing and Mitigating Compression Defects in Deep Learning
With the proliferation of deep learning methods, many computer vision pr...
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11/11/2020
Intentonomy: a Dataset and Study towards Human Intent Understanding
An image is worth a thousand words, conveying information that goes beyo...
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10/27/2020
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Graph Neural Networks (GNNs) are the predominant technique for learning ...
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08/24/2020
What makes fake images detectable? Understanding properties that generalize
The quality of image generation and manipulation is reaching impressive ...
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08/20/2020
