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09/11/2023
Learning Semantic Segmentation with Query Points Supervision on Aerial Images
Semantic segmentation is crucial in remote sensing, where high-resolutio...
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08/28/2023
Learning to Read Analog Gauges from Synthetic Data
Manually reading and logging gauge data is time inefficient, and the eff...
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08/22/2023
ShadowNet for Data-Centric Quantum System Learning
Understanding the dynamics of large quantum systems is hindered by the c...
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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 ...
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06/15/2023
Enhancing Neural Rendering Methods with Image Augmentations
Faithfully reconstructing 3D geometry and generating novel views of scen...
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05/28/2023
Just a Glimpse: Rethinking Temporal Information for Video Continual Learning
Class-incremental learning is one of the most important settings for the...
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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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04/24/2023
Large-capacity and Flexible Video Steganography via Invertible Neural Network
Video steganography is the art of unobtrusively concealing secret data i...
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04/10/2023
Revisiting Test Time Adaptation under Online Evaluation
This paper proposes a novel online evaluation protocol for Test Time Ada...
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04/06/2023
Improving Visual Question Answering Models through Robustness Analysis and In-Context Learning with a Chain of Basic Questions
Deep neural networks have been critical in the task of Visual Question A...
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04/06/2023
Boundary-Denoising for Video Activity Localization
Video activity localization aims at understanding the semantic content i...
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03/23/2023
Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs
In this paper we investigate the frequency sensitivity of Deep Neural Ne...
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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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03/17/2023
A Unified Continual Learning Framework with General Parameter-Efficient Tuning
The "pre-training → downstream adaptation" presents both new opportuniti...
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03/17/2023
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
Recently, conditional diffusion models have gained popularity in numerou...
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03/15/2023
Re-ReND: Real-time Rendering of NeRFs across Devices
This paper proposes a novel approach for rendering a pre-trained Neural ...
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02/26/2023
Localizing Moments in Long Video Via Multimodal Guidance
The recent introduction of the large-scale long-form MAD dataset for lan...
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02/02/2023
Real-Time Evaluation in Online Continual Learning: A New Paradigm
Current evaluations of Continual Learning (CL) methods typically assume ...
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01/03/2023
Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition
Deep neural networks (DNNs) are vulnerable to a class of attacks called ...
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12/09/2022
PIVOT: Prompting for Video Continual Learning
Modern machine learning pipelines are limited due to data availability, ...
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11/29/2022
SimCS: Simulation for Online Domain-Incremental Continual Segmentation
Continual Learning is a step towards lifelong intelligence where models ...
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11/29/2022
On Robust Learning from Noisy Labels: A Permutation Layer Approach
The existence of label noise imposes significant challenges (e.g., poor ...
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11/27/2022
Multi-Modal Few-Shot Temporal Action Detection
Few-shot (FS) and zero-shot (ZS) learning are two different approaches f...
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11/25/2022
Re^2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization
Temporal action localization (TAL) requires long-form reasoning to predi...
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11/21/2022
SegNeRF: 3D Part Segmentation with Neural Radiance Fields
Recent advances in Neural Radiance Fields (NeRF) boast impressive perfor...
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11/18/2022
Where is my Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization
This paper deals with the problem of localizing objects in image and vid...
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09/29/2022
Generalizability of Adversarial Robustness Under Distribution Shifts
Recent progress in empirical and certified robustness promises to delive...
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08/03/2022
Negative Frames Matter in Egocentric Visual Query 2D Localization
The recently released Ego4D dataset and benchmark significantly scales a...
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06/09/2022
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
PointNet++ is one of the most influential neural architectures for point...
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06/06/2022
Certified Robustness in Federated Learning
Federated learning has recently gained significant attention and popular...
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05/14/2022
ETAD: A Unified Framework for Efficient Temporal Action Detection
Untrimmed video understanding such as temporal action detection (TAD) of...
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04/26/2022
Contrastive Language-Action Pre-training for Temporal Localization
Long-form video understanding requires designing approaches that are abl...
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04/12/2022
3DeformRS: Certifying Spatial Deformations on Point Clouds
3D computer vision models are commonly used in security-critical applica...
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04/05/2022
Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders
Hyperspectral imaging has attracted significant attention to identify sp...
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03/27/2022
End-to-End Active Speaker Detection
Recent advances in the Active Speaker Detection (ASD) problem build upon...
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03/24/2022
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning
Class-Incremental Learning (CIL) struggles with catastrophic forgetting ...
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03/03/2022
SegTAD: Precise Temporal Action Detection via Semantic Segmentation
Temporal action detection (TAD) is an important yet challenging task in ...
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02/10/2022
Towards Assessing and Characterizing the Semantic Robustness of Face Recognition
Deep Neural Networks (DNNs) lack robustness against imperceptible pertur...
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02/10/2022
OWL (Observe, Watch, Listen): Localizing Actions in Egocentric Video via Audiovisual Temporal Context
Temporal action localization (TAL) is an important task extensively expl...
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01/31/2022
On the Robustness of Quality Measures for GANs
This work evaluates the robustness of quality measures of generative mod...
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01/23/2022
vCLIMB: A Novel Video Class Incremental Learning Benchmark
Continual learning (CL) is under-explored in the video domain. The few e...
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12/09/2021
Spatio-temporal Relation Modeling for Few-shot Action Recognition
We propose a novel few-shot action recognition framework, STRM, which en...
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12/01/2021
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions
The recent and increasing interest in video-language research has driven...
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10/12/2021
Relation-aware Video Reading Comprehension for Temporal Language Grounding
Temporal language grounding in videos aims to localize the temporal span...
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09/12/2021
MovieCuts: A New Dataset and Benchmark for Cut Type Recognition
Understanding movies and their structural patterns is a crucial task to ...
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09/12/2021
Check Your Other Door! Establishing Backdoor Attacks in the Frequency Domain
Deep Neural Networks (DNNs) have been utilized in various applications r...
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08/09/2021
Learning to Cut by Watching Movies
Video content creation keeps growing at an incredible pace; yet, creatin...
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07/29/2021
Enhancing Adversarial Robustness via Test-time Transformation Ensembling
Deep learning models are prone to being fooled by imperceptible perturba...
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07/09/2021
ANCER: Anisotropic Certification via Sample-wise Volume Maximization
Randomized smoothing has recently emerged as an effective tool that enab...
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07/02/2021