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09/14/2023
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance
In real-world scenarios, typical visual recognition systems could fail u...
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09/03/2023
SOAR: Scene-debiasing Open-set Action Recognition
Deep learning models have a risk of utilizing spurious clues to make pre...
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08/20/2023
Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting
In this paper, we investigate the adversarial robustness of vision trans...
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06/08/2023
HQ-50K: A Large-scale, High-quality Dataset for Image Restoration
This paper introduces a new large-scale image restoration dataset, calle...
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06/07/2023
Designing a Better Asymmetric VQGAN for StableDiffusion
StableDiffusion is a revolutionary text-to-image generator that is causi...
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04/20/2023
Regularizing Second-Order Influences for Continual Learning
Continual learning aims to learn on non-stationary data streams without ...
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03/18/2023
MotionTrack: Learning Robust Short-term and Long-term Motions for Multi-Object Tracking
The main challenge of Multi-Object Tracking (MOT) lies in maintaining a ...
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03/14/2023
Diversity-Aware Meta Visual Prompting
We present Diversity-Aware Meta Visual Prompting (DAM-VP), an efficient ...
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11/21/2022
Exploring Discrete Diffusion Models for Image Captioning
The image captioning task is typically realized by an auto-regressive me...
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09/16/2022
PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition
Notwithstanding the prominent performance achieved in various applicatio...
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05/26/2022
Social Interpretable Tree for Pedestrian Trajectory Prediction
Understanding the multiple socially-acceptable future behaviors is an es...
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04/09/2022
E^2TAD: An Energy-Efficient Tracking-based Action Detector
Video action detection (spatio-temporal action localization) is usually ...
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01/03/2022
Implicit Autoencoder for Point Cloud Self-supervised Representation Learning
Many 3D representations (e.g., point clouds) are discrete samples of the...
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09/12/2021
DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrieval
Many previous methods on text-based person retrieval tasks are devoted t...
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08/05/2021
Poison Ink: Robust and Invisible Backdoor Attack
Recent research shows deep neural networks are vulnerable to different t...
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08/05/2021
Exploring Structure Consistency for Deep Model Watermarking
The intellectual property (IP) of Deep neural networks (DNNs) can be eas...
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07/31/2021
Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction
Understanding complex social interactions among agents is a key challeng...
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07/27/2021
Enriching Local and Global Contexts for Temporal Action Localization
Effectively tackling the problem of temporal action localization (TAL) n...
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06/07/2021
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking
Multi-person pose estimation and tracking serve as crucial steps for vid...
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06/07/2021
Adversarial Attack and Defense in Deep Ranking
Deep Neural Network classifiers are vulnerable to adversarial attack, wh...
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06/07/2021
Video Imprint
A new unified video analytics framework (ER3) is proposed for complex ev...
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05/01/2021
Semi-supervised Long-tailed Recognition using Alternate Sampling
Main challenges in long-tailed recognition come from the imbalanced data...
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05/01/2021
GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition
The problem of long-tailed recognition, where the number of examples per...
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05/01/2021
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition
The problem of long-tailed recognition, where the number of examples per...
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05/01/2021
Sparse Pose Trajectory Completion
We propose a method to learn, even using a dataset where objects appear ...
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04/15/2021
A Simple Baseline for StyleGAN Inversion
This paper studies the problem of StyleGAN inversion, which plays an ess...
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04/04/2021
SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction
Pedestrian trajectory prediction is a key technology in autopilot, which...
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03/30/2021
Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context
Weakly-supervised Temporal Action Localization (WS-TAL) methods learn to...
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03/28/2021
ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization
The object of Weakly-supervised Temporal Action Localization (WS-TAL) is...
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03/24/2021
Beyond Visual Attractiveness: Physically Plausible Single Image HDR Reconstruction for Spherical Panoramas
HDR reconstruction is an important task in computer vision with many ind...
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03/11/2021
Diverse Semantic Image Synthesis via Probability Distribution Modeling
Semantic image synthesis, translating semantic layouts to photo-realisti...
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03/09/2021
Practical Relative Order Attack in Deep Ranking
Recent studies unveil the vulnerabilities of deep ranking models, where ...
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03/08/2021
Deep Model Intellectual Property Protection via Deep Watermarking
Despite the tremendous success, deep neural networks are exposed to seri...
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12/08/2020
Efficient Semantic Image Synthesis via Class-Adaptive Normalization
Spatially-adaptive normalization (SPADE) is remarkably successful recent...
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11/01/2020
LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks
Deep neural networks have made tremendous progress in 3D point-cloud rec...
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10/29/2020
Passport-aware Normalization for Deep Model Protection
Despite tremendous success in many application scenarios, deep learning ...
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10/22/2020
Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization
Weakly-supervised Temporal Action Localization (W-TAL) aims to classify ...
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09/21/2020
Improving Person Re-identification with Iterative Impression Aggregation
Our impression about one person often updates after we see more aspects ...
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05/27/2020
Few-Shot Open-Set Recognition using Meta-Learning
The problem of open-set recognition is considered. While previous approa...
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04/05/2020
gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors
Many real-world applications in augmented reality (AR), 3D mapping, and ...
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03/26/2020
SaccadeNet: A Fast and Accurate Object Detector
Object detection is an essential step towards holistic scene understandi...
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02/26/2020
Adversarial Ranking Attack and Defense
Deep Neural Network (DNN) classifiers are vulnerable to adversarial atta...
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11/26/2019
Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification
Many real-world applications, such as city-scale traffic monitoring and ...
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11/18/2019
Ladder Loss for Coherent Visual-Semantic Embedding
For visual-semantic embedding, the existing methods normally treat the r...
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11/17/2019
Any-Precision Deep Neural Networks
We present Any-Precision Deep Neural Networks (Any-Precision DNNs), whic...
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07/11/2019
A General Decoupled Learning Framework for Parameterized Image Operators
Many different deep networks have been used to approximate, accelerate o...
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11/27/2018
A Compositional Textual Model for Recognition of Imperfect Word Images
Printed text recognition is an important problem for industrial OCR syst...
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11/21/2018
Gated Context Aggregation Network for Image Dehazing and Deraining
Image dehazing aims to recover the uncorrupted content from a hazy image...
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07/26/2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Although weight and activation quantization is an effective approach for...
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07/21/2018