research
∙
09/12/2023
Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks
Deep Neural Networks can be easily fooled by small and imperceptible per...
share
research
∙
08/03/2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
How to enable learnability for new classes while keeping the capability ...
research
∙
07/24/2023
A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models
Prompt engineering is a technique that involves augmenting a large pre-t...
research
∙
07/21/2023
OxfordTVG-HIC: Can Machine Make Humorous Captions from Images?
This paper presents OxfordTVG-HIC (Humorous Image Captions), a large-sca...
research
∙
06/29/2023
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation
This paper presents a new mechanism to facilitate the training of mask t...
research
∙
06/14/2023
Reliable Evaluation of Adversarial Transferability
Adversarial examples (AEs) with small adversarial perturbations can misl...
research
∙
06/03/2023
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models
Various adaptation methods, such as LoRA, prompts, and adapters, have be...
research
∙
05/27/2023
Graph Inductive Biases in Transformers without Message Passing
Transformers for graph data are increasingly widely studied and successf...
research
∙
05/17/2023
Provably Correct Physics-Informed Neural Networks
Recent work provides promising evidence that Physics-informed neural net...
research
∙
05/16/2023
Online Continual Learning Without the Storage Constraint
Online continual learning (OCL) research has primarily focused on mitiga...
research
∙
04/17/2023
Towards Robust Prompts on Vision-Language Models
With the advent of vision-language models (VLMs) that can perform in-con...
research
∙
03/21/2023
Influencer Backdoor Attack on Semantic Segmentation
When a small number of poisoned samples are injected into the training d...
research
∙
03/20/2023
Reliability in Semantic Segmentation: Are We on the Right Track?
Motivated by the increasing popularity of transformers in computer visio...
research
∙
02/07/2023
PhysFormer++: Facial Video-based Physiological Measurement with SlowFast Temporal Difference Transformer
Remote photoplethysmography (rPPG), which aims at measuring heart activi...
research
∙
02/06/2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning
Few-shot class-incremental learning (FSCIL) has been a challenging probl...
research
∙
12/21/2022
Not Just Pretty Pictures: Text-to-Image Generators Enable Interpretable Interventions for Robust Representations
Neural image classifiers are known to undergo severe performance degrada...
research
∙
12/11/2022
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments
Deep Neural Networks (DNNs) are vulnerable to the black-box adversarial ...
research
∙
11/29/2022
LUMix: Improving Mixup by Better Modelling Label Uncertainty
Modern deep networks can be better generalized when trained with noisy s...
research
∙
09/26/2022
Diversified Dynamic Routing for Vision Tasks
Deep learning models for vision tasks are trained on large datasets unde...
research
∙
07/25/2022
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness
Deep neural network-based image classifications are vulnerable to advers...
research
∙
07/14/2022
Universal Adaptive Data Augmentation
Existing automatic data augmentation (DA) methods either ignore updating...
research
∙
07/13/2022
Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration
Image registration is useful for quantifying morphological changes in lo...
research
∙
04/18/2022
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
Semantic segmentation models struggle to generalize in the presence of d...
research
∙
04/18/2022
MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning
Binary pointwise labels (aka implicit feedback) are heavily leveraged by...
research
∙
03/15/2022
Task-Agnostic Robust Representation Learning
It has been reported that deep learning models are extremely vulnerable ...
research
∙
03/08/2022
Language Matters: A Weakly Supervised Pre-training Approach for Scene Text Detection and Spotting
Recently, Vision-Language Pre-training (VLP) techniques have greatly ben...
research
∙
02/17/2022
Gradients without Backpropagation
Using backpropagation to compute gradients of objective functions for op...
research
∙
12/09/2021
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
Class Incremental Learning (CIL) aims at learning a multi-class classifi...
research
∙
11/23/2021
PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer
Remote photoplethysmography (rPPG), which aims at measuring heart activi...
research
∙
11/22/2021
Adversarial Examples on Segmentation Models Can be Easy to Transfer
Deep neural network-based image classification can be misled by adversar...
research
∙
11/18/2021
TransMix: Attend to Mix for Vision Transformers
Mixup-based augmentation has been found to be effective for generalizing...
research
∙
08/03/2021
Vision Transformer with Progressive Sampling
Transformers with powerful global relation modeling abilities have been ...
research
∙
08/02/2021
Multilevel Knowledge Transfer for Cross-Domain Object Detection
Domain shift is a well known problem where a model trained on a particul...
research
∙
07/17/2021
Implicit Communication as Minimum Entropy Coupling
In many common-payoff games, achieving good performance requires players...
research
∙
07/13/2021
Visual Parser: Representing Part-whole Hierarchies with Transformers
Human vision is able to capture the part-whole hierarchical information ...
research
∙
11/24/2020
Learning to Sample the Most Useful Training Patches from Images
Some image restoration tasks like demosaicing require difficult training...
research
∙
10/28/2020
Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation
In this paper we present a novel loss function, called class-agnostic se...
research
∙
10/10/2020
Diagnosing and Preventing Instabilities in Recurrent Video Processing
Recurrent models are becoming a popular choice for video enhancement tas...
research
∙
09/16/2020
HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking
Multi-Object Tracking (MOT) has been notoriously difficult to evaluate. ...
research
∙
08/21/2020
Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection
Object detection has witnessed significant progress by relying on large,...
research
∙
05/14/2020
Simulation-Based Inference for Global Health Decisions
The COVID-19 pandemic has highlighted the importance of in-silico epidem...
research
∙
03/14/2020
Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control
Deep multi-agent reinforcement learning (MARL) holds the promise of auto...
research
∙
02/19/2020
Using Hindsight to Anchor Past Knowledge in Continual Learning
In continual learning, the learner faces a stream of data whose distribu...
research
∙
02/01/2020
Global Texture Enhancement for Fake Face Detection in the Wild
Generative Adversarial Networks (GANs) can generate realistic fake face ...
research
∙
11/29/2019
Domain-invariant Stereo Matching Networks
State-of-the-art stereo matching networks have difficulties in generaliz...
research
∙
07/08/2019
Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale
Probabilistic programming languages (PPLs) are receiving widespread atte...
research
∙
06/20/2019
Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation
Many applications require a camera to be relocalised online, without exp...
research
∙
04/02/2019
Res2Net: A New Multi-scale Backbone Architecture
Representing features at multiple scales is of great importance for nume...
research
∙
03/26/2018
Long-term Tracking in the Wild: A Benchmark
We introduce a new video dataset and benchmark to assess single-object t...
research
∙
01/24/2017