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04/16/2022
Towards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks
Despite the exciting performance, Transformer is criticized for its exce...
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03/12/2022
Differentiated Relevances Embedding for Group-based Referring Expression Comprehension
Referring expression comprehension (REC) aims to locate a certain object...
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10/19/2021
LSTC: Boosting Atomic Action Detection with Long-Short-Term Context
In this paper, we place the atomic action detection problem into a Long-...
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10/17/2021
Towards Language-guided Visual Recognition via Dynamic Convolutions
In this paper, we are committed to establishing an unified and end-to-en...
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10/10/2021
Transformer-based Dual Relation Graph for Multi-label Image Recognition
The simultaneous recognition of multiple objects in one image remains a ...
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09/09/2021
Fine-grained Data Distribution Alignment for Post-Training Quantization
While post-training quantization receives popularity mostly due to its e...
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09/04/2021
Spatiotemporal Inconsistency Learning for DeepFake Video Detection
The rapid development of facial manipulation techniques has aroused publ...
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08/05/2021
Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing
With various face presentation attacks arising under unseen scenarios, f...
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08/02/2021
Distributed Attention for Grounded Image Captioning
We study the problem of weakly supervised grounded image captioning. Tha...
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07/27/2021
Rethinking Counting and Localization in Crowds:A Purely Point-Based Framework
Localizing individuals in crowds is more in accordance with the practica...
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07/20/2021
Discriminator-Free Generative Adversarial Attack
The Deep Neural Networks are vulnerable toadversarial exam-ples(Figure 1...
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06/18/2021
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping
In this work, we propose a high fidelity face swapping method, called Hi...
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06/15/2021
Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection
Non-parametric face modeling aims to reconstruct 3D face only from image...
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06/10/2021
Consistent Instance False Positive Improves Fairness in Face Recognition
Demographic bias is a significant challenge in practical face recognitio...
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05/31/2021
Adaptive Feature Alignment for Adversarial Training
Recent studies reveal that Convolutional Neural Networks (CNNs) are typi...
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05/31/2021
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model
Inspired by biological evolution, we explain the rationality of Vision T...
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05/06/2021
Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing
Face anti-spoofing approach based on domain generalization(DG) has drawn...
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05/03/2021
ISTR: End-to-End Instance Segmentation with Transformers
End-to-end paradigms significantly improve the accuracy of various deep-...
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04/26/2021
Delving into Data: Effectively Substitute Training for Black-box Attack
Deep models have shown their vulnerability when processing adversarial s...
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04/24/2021
Carrying out CNN Channel Pruning in a White Box
Channel Pruning has been long adopted for compressing CNNs, which signif...
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04/19/2021
DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
While self-supervised representation learning (SSL) has received widespr...
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04/18/2021
Lottery Jackpots Exist in Pre-trained Models
Network pruning is an effective approach to reduce network complexity wi...
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03/26/2021
Distilling a Powerful Student Model via Online Knowledge Distillation
Existing online knowledge distillation approaches either adopt the stude...
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03/25/2021
Learning Dynamic Alignment via Meta-filter for Few-shot Learning
Few-shot learning (FSL), which aims to recognise new classes by adapting...
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03/25/2021
On Evolving Attention Towards Domain Adaptation
Towards better unsupervised domain adaptation (UDA). Recently, researche...
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03/24/2021
Learning Salient Boundary Feature for Anchor-free Temporal Action Localization
Temporal action localization is an important yet challenging task in vid...
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03/23/2021
Learning Comprehensive Motion Representation for Action Recognition
For action recognition learning, 2D CNN-based methods are efficient but ...
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03/08/2021
Unveiling the Potential of Structure-Preserving for Weakly Supervised Object Localization
Weakly supervised object localization remains an open problem due to the...
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03/02/2021
Image-to-image Translation via Hierarchical Style Disentanglement
Recently, image-to-image translation has made significant progress in ac...
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02/18/2021
DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results
This paper reports methods and results in the DeeperForensics Challenge ...
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02/01/2021
Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System
Face authentication on mobile end has been widely applied in various sce...
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01/20/2021
Non-Parametric Adaptive Network Pruning
Popular network pruning algorithms reduce redundant information by optim...
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01/19/2021
On The Consistency Training for Open-Set Semi-Supervised Learning
Conventional semi-supervised learning (SSL) methods, e.g., MixMatch, ach...
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01/16/2021
Dual-Level Collaborative Transformer for Image Captioning
Descriptive region features extracted by object detection networks have ...
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12/18/2020
Frequency Consistent Adaptation for Real World Super Resolution
Recent deep-learning based Super-Resolution (SR) methods have achieved r...
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12/04/2020
Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation
Semi-supervised domain adaptation (SSDA) methods have demonstrated great...
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12/01/2020
Fast Class-wise Updating for Online Hashing
Online image hashing has received increasing research attention recently...
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11/23/2020
Adversarial Refinement Network for Human Motion Prediction
Human motion prediction aims to predict future 3D skeletal sequences by ...
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11/17/2020
Learning Efficient GANs via Differentiable Masks and co-Attention Distillation
Generative Adversarial Networks (GANs) have been widely-used in image tr...
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09/28/2020
Rotated Binary Neural Network
Binary Neural Network (BNN) shows its predominance in reducing the compl...
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09/11/2020
Devil's in the Detail: Graph-based Key-point Alignment and Embedding for Person Re-ID
Although Person Re-Identification has made impressive progress, difficul...
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08/19/2020
Face Anti-Spoofing Via Disentangled Representation Learning
Face anti-spoofing is crucial to security of face recognition systems. P...
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08/03/2020
Adversarial Semantic Data Augmentation for Human Pose Estimation
Human pose estimation is the task of localizing body keypoints from stil...
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07/30/2020
Dense Scene Multiple Object Tracking with Box-Plane Matching
Multiple Object Tracking (MOT) is an important task in computer vision. ...
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07/29/2020
Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking
Existing Multiple-Object Tracking (MOT) methods either follow the tracki...
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07/27/2020
NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination
Greedy-NMS inherently raises a dilemma, where a lower NMS threshold will...
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07/15/2020
Temporal Distinct Representation Learning for Action Recognition
Motivated by the previous success of Two-Dimensional Convolutional Neura...
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07/03/2020
Collaborative Learning for Faster StyleGAN Embedding
The latent code of the recent popular model StyleGAN has learned disenta...
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07/02/2020
ACFD: Asymmetric Cartoon Face Detector
Cartoon face detection is a more challenging task than human face detect...
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05/27/2020
