b'Ser Nam Lim'

research

∙ 07/07/2023

Language-free Compositional Action Generation via Decoupling Refinement

Composing simple elements into complex concepts is crucial yet challengi...

0 Xiao Liu, et al. ∙

research

∙ 05/27/2023

Graph Inductive Biases in Transformers without Message Passing

Transformers for graph data are increasingly widely studied and successf...

0 Liheng Ma, et al. ∙

research

∙ 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...

0 Hasan Abed Al Kader Hammoud, et al. ∙

research

∙ 04/05/2023

HNeRV: A Hybrid Neural Representation for Videos

Implicit neural representations store videos as neural networks and have...

3 Hao Chen, et al. ∙

research

∙ 03/24/2023

Towards Scalable Neural Representation for Diverse Videos

Implicit neural representations (INR) have gained increasing attention i...

0 Bo He, et al. ∙

research

∙ 03/21/2023

Detecting Everything in the Open World: Towards Universal Object Detection

In this paper, we formally address universal object detection, which aim...

0 Zhenyu Wang, et al. ∙

research

∙ 03/20/2023

Open-vocabulary Panoptic Segmentation with Embedding Modulation

Open-vocabulary image segmentation is attracting increasing attention du...

3 Xi Chen, et al. ∙

research

∙ 03/20/2023

ScribbleSeg: Scribble-based Interactive Image Segmentation

Interactive segmentation enables users to extract masks by providing sim...

0 Xi Chen, et al. ∙

research

∙ 03/20/2023

Computationally Budgeted Continual Learning: What Does Matter?

Continual Learning (CL) aims to sequentially train models on streams of ...

0 Ameya Prabhu, et al. ∙

research

∙ 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 ...

4 Yifei Zhou, et al. ∙

research

∙ 01/10/2023

Online Backfilling with No Regret for Large-Scale Image Retrieval

Backfilling is the process of re-extracting all gallery embeddings from ...

7 Seonguk Seo, et al. ∙

research

∙ 11/28/2022

PyTorch Adapt

PyTorch Adapt is a library for domain adaptation, a type of machine lear...

0 Kevin Musgrave, et al. ∙

research

∙ 11/18/2022

CNeRV: Content-adaptive Neural Representation for Visual Data

Compression and reconstruction of visual data have been widely studied i...

0 Hao Chen, et al. ∙

research

∙ 11/08/2022

BT^2: Backward-compatible Training with Basis Transformation

Modern retrieval system often requires recomputing the representation of...

0 Yifei Zhou, et al. ∙

research

∙ 10/05/2022

GAPX: Generalized Autoregressive Paraphrase-Identification X

Paraphrase Identification is a fundamental task in Natural Language Proc...

5 Yifei Zhou, et al. ∙

research

∙ 09/26/2022

Diversified Dynamic Routing for Vision Tasks

Deep learning models for vision tasks are trained on large datasets unde...

7 Botos Csaba, et al. ∙

research

∙ 09/26/2022

Totems: Physical Objects for Verifying Visual Integrity

We introduce a new approach to image forensics: placing physical refract...

4 Jingwei Ma, et al. ∙

research

∙ 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 ...

6 Jishnu Mukhoti, et al. ∙

research

∙ 08/15/2022

Benchmarking Validation Methods for Unsupervised Domain Adaptation

This paper compares and ranks 11 UDA validation methods. Validators esti...

3 Kevin Musgrave, et al. ∙

research

∙ 07/28/2022

HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions

Recent progress in vision Transformers exhibits great success in various...

10 Yongming Rao, et al. ∙

research

∙ 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...

10 Tom Joy, et al. ∙

research

∙ 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...

1 Francesco Pinto, et al. ∙

research

∙ 05/27/2022

Spartan: Differentiable Sparsity via Regularized Transportation

We present Spartan, a method for training sparse neural network models w...

8 Kai Sheng Tai, et al. ∙

research

∙ 05/18/2022

VRAG: Region Attention Graphs for Content-Based Video Retrieval

Content-based Video Retrieval (CBVR) is used on media-sharing platforms ...

8 Kennard Ng, et al. ∙

research

∙ 03/28/2022

ObjectFormer for Image Manipulation Detection and Localization

Recent advances in image editing techniques have posed serious challenge...

3 Junke Wang, et al. ∙

research

∙ 03/23/2022

Visual Prompt Tuning

The current modus operandi in adapting pre-trained models involves updat...

7 Menglin Jia, et al. ∙

research

∙ 03/15/2022

Task-Agnostic Robust Representation Learning

It has been reported that deep learning models are extremely vulnerable ...

1 A. Tuan Nguyen, et al. ∙

research

∙ 12/15/2021

Rethinking Nearest Neighbors for Visual Classification

Neural network classifiers have become the de-facto choice for current "...

23 Menglin Jia, et al. ∙

research

∙ 12/02/2021

Object-Centric Unsupervised Image Captioning

Training an image captioning model in an unsupervised manner without uti...

0 Zihang Meng, et al. ∙

research

∙ 11/30/2021

Unsupervised Domain Adaptation: A Reality Check

Interest in unsupervised domain adaptation (UDA) has surged in recent ye...

3 Kevin Musgrave, et al. ∙

research

∙ 11/30/2021

AdaViT: Adaptive Vision Transformers for Efficient Image Recognition

Built on top of self-attention mechanisms, vision transformers have demo...

0 Lingchen Meng, et al. ∙

research

∙ 10/28/2021

Learning to Ground Multi-Agent Communication with Autoencoders

Communication requires having a common language, a lingua franca, betwee...

0 Toru Lin, et al. ∙

research

∙ 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...

14 Derek Lim, et al. ∙

research

∙ 10/26/2021

A Frequency Perspective of Adversarial Robustness

Adversarial examples pose a unique challenge for deep learning systems. ...

0 Shishira R Maiya, et al. ∙

research

∙ 10/26/2021

NeRV: Neural Representations for Videos

We propose a novel neural representation for videos (NeRV) which encodes...

0 Hao Chen, et al. ∙

research

∙ 09/28/2021

When in Doubt: Improving Classification Performance with Alternating Normalization

We introduce Classification with Alternating Normalization (CAN), a non-...

7 Menglin Jia, et al. ∙

research

∙ 07/19/2021

Equivariant Manifold Flows

Tractably modelling distributions over manifolds has long been an import...

19 Isay Katsman, et al. ∙

research

∙ 06/30/2021

Edge Proposal Sets for Link Prediction

Graphs are a common model for complex relational data such as social net...

10 Abhay Singh, et al. ∙

research

∙ 04/16/2021

Cross-Modal Retrieval Augmentation for Multi-Modal Classification

Recent advances in using retrieval components over external knowledge so...

15 Shir Gur, et al. ∙

research

∙ 04/15/2021

Exploring Visual Engagement Signals for Representation Learning

Visual engagement in social media platforms comprises interactions with ...

16 Menglin Jia, et al. ∙

research

∙ 04/08/2021

Multimodal Fusion Refiner Networks

Tasks that rely on multi-modal information typically include a fusion mo...

12 Sethuraman Sankaran, et al. ∙

research

∙ 04/03/2021

New Benchmarks for Learning on Non-Homophilous Graphs

Much data with graph structures satisfy the principle of homophily, mean...

0 Derek Lim, et al. ∙

research

∙ 03/25/2021

THAT: Two Head Adversarial Training for Improving Robustness at Scale

Many variants of adversarial training have been proposed, with most rese...

0 Zuxuan Wu, et al. ∙

research

∙ 01/26/2021

Deep Video Inpainting Detection

This paper studies video inpainting detection, which localizes an inpain...

0 Peng Zhou, et al. ∙

research

∙ 12/15/2020

GTA: Global Temporal Attention for Video Action Understanding

Self-attention learns pairwise interactions via dot products to model lo...

0 Bo He, et al. ∙

research

∙ 11/17/2020

Analyzing and Mitigating Compression Defects in Deep Learning

With the proliferation of deep learning methods, many computer vision pr...

1 Max Ehrlich, et al. ∙

research

∙ 11/11/2020

Intentonomy: a Dataset and Study towards Human Intent Understanding

An image is worth a thousand words, conveying information that goes beyo...

40 Menglin Jia, et al. ∙

research

∙ 10/27/2020

Combining Label Propagation and Simple Models Out-performs Graph Neural Networks

Graph Neural Networks (GNNs) are the predominant technique for learning ...

0 Qian Huang, et al. ∙

research

∙ 08/24/2020

What makes fake images detectable? Understanding properties that generalize

The quality of image generation and manipulation is reaching impressive ...

41 Lucy Chai, et al. ∙

research

∙ 08/20/2020

PyTorch Metric Learning

Deep metric learning algorithms have a wide variety of applications, but...

60 Kevin Musgrave, et al. ∙

Ser Nam Lim

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