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09/12/2023
Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks
Deep Neural Networks can be easily fooled by small and imperceptible per...
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08/21/2023
Improving Continuous Sign Language Recognition with Cross-Lingual Signs
This work dedicates to continuous sign language recognition (CSLR), whic...
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03/22/2023
CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning
This work focuses on sign language retrieval-a recently proposed task fo...
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03/21/2023
Natural Language-Assisted Sign Language Recognition
Sign languages are visual languages which convey information by signers'...
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03/15/2023
DeepMIM: Deep Supervision for Masked Image Modeling
Deep supervision, which involves extra supervisions to the intermediate ...
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02/23/2023
Side Adapter Network for Open-Vocabulary Semantic Segmentation
This paper presents a new framework for open-vocabulary semantic segment...
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01/03/2023
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models
Masked image modeling (MIM) performs strongly in pre-training large visi...
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12/16/2022
Attentive Mask CLIP
Image token removal is an efficient augmentation strategy for reducing t...
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11/02/2022
Two-Stream Network for Sign Language Recognition and Translation
Sign languages are visual languages using manual articulations and non-m...
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07/18/2022
Conditional DETR V2: Efficient Detection Transformer with Box Queries
In this paper, we are interested in Detection Transformer (DETR), an end...
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07/08/2022
Boosting Zero-shot Learning via Contrastive Optimization of Attribute Representations
Zero-shot learning (ZSL) aims to recognize classes that do not have samp...
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04/07/2022
Unsupervised Prompt Learning for Vision-Language Models
Contrastive vision-language models like CLIP have shown great progress i...
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03/28/2022
Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning
Prior works on action representation learning mainly focus on designing ...
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03/28/2022
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model
Recently, vision-language pre-training shows great potential in open-voc...
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03/08/2022
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation
This paper proposes a simple transfer learning baseline for sign languag...
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12/29/2021
A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model
Recently, zero-shot image classification by vision-language pre-training...
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12/17/2021
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition
Semi-supervised action recognition is a challenging but important task d...
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11/22/2021
Towards Tokenized Human Dynamics Representation
For human action understanding, a popular research direction is to analy...
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11/04/2021
Bootstrap Your Object Detector via Mixed Training
We introduce MixTraining, a new training paradigm for object detection t...
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10/11/2021
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Due to the limited and even imbalanced data, semi-supervised semantic se...
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09/13/2021
ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment
The recent progress of CNN has dramatically improved face alignment perf...
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08/13/2021
Dual Path Learning for Domain Adaptation of Semantic Segmentation
Domain adaptation for semantic segmentation enables to alleviate the nee...
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06/16/2021
End-to-End Semi-Supervised Object Detection with Soft Teacher
This paper presents an end-to-end semi-supervised object detection appro...
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06/04/2021
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Image-level contrastive representation learning has proven to be highly ...
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03/29/2021
High-Fidelity and Arbitrary Face Editing
Cycle consistency is widely used for face editing. However, we observe t...
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12/24/2020
Global Context Networks
The Non-Local Network (NLNet) presents a pioneering approach for capturi...
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10/29/2020
RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder
Existing object detection frameworks are usually built on a single forma...
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10/22/2020
Restoring Negative Information in Few-Shot Object Detection
Few-shot learning has recently emerged as a new challenge in the deep le...
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07/06/2020
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation
A recent approach for object detection and human pose estimation is to r...
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11/30/2019
Design and Interpretation of Universal Adversarial Patches in Face Detection
We consider universal adversarial patches for faces - small visual eleme...
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04/25/2019
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
The Non-Local Network (NLNet) presents a pioneering approach for capturi...
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02/19/2019