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08/25/2023
Dual Compensation Residual Networks for Class Imbalanced Learning
Learning generalizable representation and classifier for class-imbalance...
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06/19/2023
BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models
Large language models (LLMs) have demonstrated remarkable prowess in lan...
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04/24/2023
Function-Consistent Feature Distillation
Feature distillation makes the student mimic the intermediate features o...
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03/09/2023
Diversity-Measurable Anomaly Detection
Reconstruction-based anomaly detection models achieve their purpose by s...
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04/14/2022
Clothes-Changing Person Re-identification with RGB Modality Only
The key to address clothes-changing person re-identification (re-id) is ...
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11/08/2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning
Teaching machines to recognize a new category based on few training samp...
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08/05/2021
UniCon: Unified Context Network for Robust Active Speaker Detection
We introduce a new efficient framework, the Unified Context Network (Uni...
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07/20/2021
Locality-aware Channel-wise Dropout for Occluded Face Recognition
Face recognition remains a challenging task in unconstrained scenarios, ...
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06/24/2021
Feature Completion for Occluded Person Re-Identification
Person re-identification (reID) plays an important role in computer visi...
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04/18/2021
Continuity-Discrimination Convolutional Neural Network for Visual Object Tracking
This paper proposes a novel model, named Continuity-Discrimination Convo...
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04/06/2021
Visual Alignment Constraint for Continuous Sign Language Recognition
Vision-based Continuous Sign Language Recognition (CSLR) aims to recogni...
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12/03/2020
Attributes Aware Face Generation with Generative Adversarial Networks
Recent studies have shown remarkable success in face image generations. ...
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11/15/2020
Learn an Effective Lip Reading Model without Pains
Lip reading, also known as visual speech recognition, aims to recognize ...
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09/02/2020
IAUnet: Global Context-Aware Feature Learning for Person Re-Identification
Person re-identification (reID) by CNNs based networks has achieved favo...
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07/18/2020
Temporal Complementary Learning for Video Person Re-Identification
This paper proposes a Temporal Complementary Learning Network that extra...
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07/17/2020
Sketching Image Gist: Human-Mimetic Hierarchical Scene Graph Generation
Scene graph aims to faithfully reveal humans' perception of image conten...
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07/16/2020
Appearance-Preserving 3D Convolution for Video-based Person Re-identification
Due to the imperfect person detection results and posture changes, tempo...
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05/08/2020
Synchronous Bidirectional Learning for Multilingual Lip Reading
Lip reading has received increasing attention in recent years. This pape...
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04/29/2020
Single-Side Domain Generalization for Face Anti-Spoofing
Existing domain generalization methods for face anti-spoofing endeavor t...
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04/13/2020
Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training
Although two-stage object detectors have continuously advanced the state...
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04/09/2020
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
Image-level weakly supervised semantic segmentation is a challenging pro...
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04/04/2020
Cross-domain Face Presentation Attack Detection via Multi-domain Disentangled Representation Learning
Face presentation attack detection (PAD) has been an urgent problem to b...
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03/31/2020
Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text
Answering questions that require reading texts in an image is challengin...
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03/13/2020
Mutual Information Maximization for Effective Lip Reading
Lip reading has received an increasing research interest in recent years...
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03/12/2020
Deformation Flow Based Two-Stream Network for Lip Reading
Lip reading is the task of recognizing the speech content by analyzing m...
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03/09/2020
Pseudo-Convolutional Policy Gradient for Sequence-to-Sequence Lip-Reading
Lip-reading aims to infer the speech content from the lip movement seque...
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03/06/2020
Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech Recognition
Recent advances in deep learning have heightened interest among research...
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02/15/2020
UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation
We propose UniViLM: a Unified Video and Language pre-training Model for ...
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02/13/2020
Emotion Recognition for In-the-wild Videos
This paper is a brief introduction to our submission to the seven basic ...
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02/07/2020
M^3T: Multi-Modal Continuous Valence-Arousal Estimation in the Wild
This report describes a multi-modal multi-task (M^3T) approach underlyin...
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11/04/2019
Deep Heterogeneous Hashing for Face Video Retrieval
Retrieving videos of a particular person with face image as a query via ...
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11/04/2019
FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning
Combined variations containing low-resolution and occlusion often presen...
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11/01/2019
Learning-based Real-time Detection of Intrinsic Reflectional Symmetry
Reflectional symmetry is ubiquitous in nature. While extrinsic reflectio...
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10/30/2019
LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling
3D models are commonly used in computer vision and graphics. With the wi...
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10/25/2019
RhythmNet: End-to-end Heart Rate Estimation from Face via Spatial-temporal Representation
Heart rate (HR) is an important physiological signal that reflects the p...
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10/24/2019
Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition
Facial action units (AUs) recognition is essential for emotion analysis ...
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10/17/2019
Cross Attention Network for Few-shot Classification
Few-shot classification aims to recognize unlabeled samples from unseen ...
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10/11/2019
Cross-modal Scene Graph Matching for Relationship-aware Image-Text Retrieval
Image-text retrieval of natural scenes has been a popular research topic...
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09/24/2019
Object-Contextual Representations for Semantic Segmentation
In this paper, we address the problem of semantic segmentation and focus...
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09/09/2019
Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation has attracted much research inte...
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08/16/2019
Transferable Contrastive Network for Generalized Zero-Shot Learning
Zero-shot learning (ZSL) is a challenging problem that aims to recognize...
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08/11/2019
Temporal Knowledge Propagation for Image-to-Video Person Re-identification
In many scenarios of Person Re-identification (Re-ID), the gallery set c...
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08/08/2019
From Two Graphs to N Questions: A VQA Dataset for Compositional Reasoning on Vision and Commonsense
Visual Question Answering (VQA) is a challenging task for evaluating the...
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07/29/2019
Interlaced Sparse Self-Attention for Semantic Segmentation
In this paper, we present a so-called interlaced sparse self-attention a...
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07/19/2019
Interaction-and-Aggregation Network for Person Re-identification
Person re-identification (reID) benefits greatly from deep convolutional...
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07/19/2019
VRSTC: Occlusion-Free Video Person Re-Identification
Video person re-identification (re-ID) plays an important role in survei...
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07/16/2019
Cascade RetinaNet: Maintaining Consistency for Single-Stage Object Detection
Recent researches attempt to improve the detection performance by adopti...
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06/22/2019
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation
Non-Autoregressive Transformer (NAT) aims to accelerate the Transformer ...
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04/01/2019
Weakly Supervised Object Detection with Segmentation Collaboration
Weakly supervised object detection aims at learning precise object detec...
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03/31/2019
