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08/22/2023
Domain Generalization via Rationale Invariance
This paper offers a new perspective to ease the challenge of domain gene...
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07/21/2023
Advancing Visual Grounding with Scene Knowledge: Benchmark and Method
Visual grounding (VG) aims to establish fine-grained alignment between v...
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07/21/2023
Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation
Parameter Efficient Tuning (PET) has gained attention for reducing the n...
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04/17/2023
Efficient Video Action Detection with Token Dropout and Context Refinement
Streaming video clips with large-scale video tokens impede vision transf...
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04/10/2023
Improved Test-Time Adaptation for Domain Generalization
The main challenge in domain generalization (DG) is to handle the distri...
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03/30/2023
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
Contrastive learning methods train visual encoders by comparing views fr...
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03/28/2023
CycleACR: Cycle Modeling of Actor-Context Relations for Video Action Detection
The relation modeling between actors and scene context advances video ac...
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11/17/2022
DiffusionDet: Diffusion Model for Object Detection
We propose DiffusionDet, a new framework that formulates object detectio...
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05/26/2022
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Although the pre-trained Vision Transformers (ViTs) achieved great succe...
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03/23/2022
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Pre-training video transformers on extra large-scale datasets is general...
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03/23/2022
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection
Recent studies in deepfake detection have yielded promising results when...
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02/16/2022
Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations
Vision Transformers (ViTs) take all the image patches as tokens and cons...
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01/28/2022
DynaMixer: A Vision MLP Architecture with Dynamic Mixing
Recently, MLP-like vision models have achieved promising performances on...
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01/13/2022
MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning
Dancing video retargeting aims to synthesize a video that transfers the ...
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10/11/2021
Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning
Studies on self-supervised visual representation learning (SSL) improve ...
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05/05/2021
PD-GAN: Probabilistic Diverse GAN for Image Inpainting
We propose PD-GAN, a probabilistic diverse GAN for image inpainting. Giv...
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03/31/2021
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows
Universal style transfer retains styles from reference images in content...
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03/27/2021
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking
Adversarial attack arises due to the vulnerability of deep neural networ...
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03/23/2021
DeFLOCNet: Deep Image Editing via Flexible Low-level Controls
User-intended visual content fills the hole regions of an input image in...
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03/17/2021
Disentangled Cycle Consistency for Highly-realistic Virtual Try-On
Image virtual try-on replaces the clothes on a person image with a desir...
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03/10/2021
VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples
MoCo is effective for unsupervised image representation learning. In thi...
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03/09/2021
Stabilized Medical Image Attacks
Convolutional Neural Networks (CNNs) have advanced existing medical syst...
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03/08/2021
Parser-Free Virtual Try-on via Distilling Appearance Flows
Image virtual try-on aims to fit a garment image (target clothes) to a p...
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08/03/2020
Rethinking Image Deraining via Rain Streaks and Vapors
Single image deraining regards an input image as a fusion of a backgroun...
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07/22/2020
Unsupervised Deep Representation Learning for Real-Time Tracking
The advancement of visual tracking has continuously been brought by deep...
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07/20/2020
Robust Tracking against Adversarial Attacks
While deep convolutional neural networks (CNNs) are vulnerable to advers...
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07/14/2020
Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations
Deep encoder-decoder based CNNs have advanced image inpainting methods f...
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10/25/2019
Self-supervised Learning of Detailed 3D Face Reconstruction
In this paper, we present an end-to-end learning framework for detailed ...
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07/23/2019
Real-Time Correlation Tracking via Joint Model Compression and Transfer
Correlation filters (CF) have received considerable attention in visual ...
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04/09/2019
MVF-Net: Multi-View 3D Face Morphable Model Regression
We address the problem of recovering the 3D geometry of a human face fro...
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04/03/2019
Unsupervised Deep Tracking
We propose an unsupervised visual tracking method in this paper. Differe...
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11/22/2018
Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement
We address the problem of restoring a high-resolution face image from a ...
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10/09/2018
Deep Attentive Tracking via Reciprocative Learning
Visual attention, derived from cognitive neuroscience, facilitates human...
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09/27/2018
Deformable Object Tracking with Gated Fusion
The tracking-by-detection framework receives growing attentions through ...
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04/12/2018
Image Correction via Deep Reciprocating HDR Transformation
Image correction aims to adjust an input image into a visually pleasing ...
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04/12/2018
VITAL: VIsual Tracking via Adversarial Learning
The tracking-by-detection framework consists of two stages, i.e., drawin...
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08/28/2017
Stylizing Face Images via Multiple Exemplars
We address the problem of transferring the style of a headshot photo to ...
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08/01/2017
CREST: Convolutional Residual Learning for Visual Tracking
Discriminative correlation filters (DCFs) have been shown to perform sup...
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08/01/2017
Fast Preprocessing for Robust Face Sketch Synthesis
Exemplar-based face sketch synthesis methods usually meet the challengin...
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08/01/2017