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09/21/2023
Fully Transformer-Equipped Architecture for End-to-End Referring Video Object Segmentation
Referring Video Object Segmentation (RVOS) requires segmenting the objec...
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09/21/2023
Efficient Long-Short Temporal Attention Network for Unsupervised Video Object Segmentation
Unsupervised Video Object Segmentation (VOS) aims at identifying the con...
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07/14/2023
Learning Sparse Neural Networks with Identity Layers
The sparsity of Deep Neural Networks is well investigated to maximize th...
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07/04/2023
Spike-driven Transformer
Spiking Neural Networks (SNNs) provide an energy-efficient deep learning...
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06/28/2023
ChatLaw: Open-Source Legal Large Language Model with Integrated External Knowledge Bases
Large Language Models (LLMs) have shown the potential to revolutionize n...
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06/01/2023
Auto-Spikformer: Spikformer Architecture Search
The integration of self-attention mechanisms into Spiking Neural Network...
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05/24/2023
ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space Manipulation
Editing real facial images is a crucial task in computer vision with sig...
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05/23/2023
Temporal Contrastive Learning for Spiking Neural Networks
Biologically inspired spiking neural networks (SNNs) have garnered consi...
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05/22/2023
Album Storytelling with Iterative Story-aware Captioning and Large Language Models
This work studies how to transform an album to vivid and coherent storie...
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05/20/2023
Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment
Text-video retrieval is a challenging cross-modal task, which aims to al...
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05/19/2023
PointGPT: Auto-regressively Generative Pre-training from Point Clouds
Large language models (LLMs) based on the generative pre-training transf...
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04/02/2023
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
Few-shot class-incremental learning (FSCIL) aims at learning to classify...
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03/25/2023
Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning
Contrastive learning-based video-language representation learning approa...
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03/23/2023
Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation
Interactive segmentation enables users to segment as needed by providing...
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03/17/2023
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model
Existing text-video retrieval solutions are, in essence, discriminant mo...
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03/13/2023
Parallel Vertex Diffusion for Unified Visual Grounding
Unified visual grounding pursues a simple and generic technical route to...
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01/23/2023
Rapid grasping of fabric using bionic soft grippers with elastic instability
Robot grasping is subject to an inherent tradeoff: Grippers with a large...
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01/18/2023
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation
Unsupervised domain adaption has been widely adopted in tasks with scarc...
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11/28/2022
Joint Multimodal Entity-Relation Extraction Based on Edge-enhanced Graph Alignment Network and Word-pair Relation Tagging
Multimodal named entity recognition (MNER) and multimodal relation extra...
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11/22/2022
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation is typically inspired by class a...
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10/12/2022
Dynamic Clustering Network for Unsupervised Semantic Segmentation
Recently, the ability of self-supervised Vision Transformer (ViT) to rep...
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09/29/2022
Spikformer: When Spiking Neural Network Meets Transformer
We consider two biologically plausible structures, the Spiking Neural Ne...
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07/20/2022
Locality Guidance for Improving Vision Transformers on Tiny Datasets
While the Vision Transformer (VT) architecture is becoming trendy in com...
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04/29/2022
Numerical Solution of the Savage-Hutter Equations for Granular Avalanche Flow using the Discontinuous Galerkin Method
The Savage-Hutter (SH) equations are a hyperbolic system of nonlinear pa...
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04/03/2022
Improving Vision Transformers by Revisiting High-frequency Components
The transformer models have shown promising effectiveness in dealing wit...
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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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12/17/2021
Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction
Recent Transformer-based methods have achieved advanced performance in p...
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09/15/2021
PnP-DETR: Towards Efficient Visual Analysis with Transformers
Recently, DETR pioneered the solution of vision tasks with transformers,...
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06/24/2021
VOLO: Vision Outlooker for Visual Recognition
Visual recognition has been dominated by convolutional neural networks (...
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06/23/2021
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition
In this paper, we present Vision Permutator, a conceptually simple and d...
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05/10/2021
Continual Learning via Bit-Level Information Preserving
Continual learning tackles the setting of learning different tasks seque...
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04/22/2021
Token Labeling: Training a 85.4 56M Parameters on ImageNet
This paper provides a strong baseline for vision transformers on the Ima...
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03/31/2021
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
It is well-known that stochastic gradient noise (SGN) acts as implicit r...
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01/28/2021
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
Transformers, which are popular for language modeling, have been explore...
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11/11/2020
Adversarial images for the primate brain
Deep artificial neural networks have been proposed as a model of primate...
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10/20/2020
Fast Video Salient Object Detection via Spatiotemporal Knowledge Distillation
Since the wide employment of deep learning frameworks in video salient o...
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10/16/2020
Towards Accurate Human Pose Estimation in Videos of Crowded Scenes
Video-based human pose estimation in crowded scenes is a challenging pro...
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10/16/2020
Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes
Detecting and recognizing human action in videos with crowded scenes is ...
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10/16/2020
A Simple Baseline for Pose Tracking in Videos of Crowded Scenes
This paper presents our solution to ACM MM challenge: Large-scale Human-...
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09/23/2020
Exploring global diverse attention via pairwise temporal relation for video summarization
Video summarization is an effective way to facilitate video searching an...
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07/28/2020
YNU-HPCC at SemEval-2020 Task 8: Using a Parallel-Channel Model for Memotion Analysis
In recent years, the growing ubiquity of Internet memes on social media ...
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09/25/2019
Revisit Knowledge Distillation: a Teacher-free Framework
Knowledge Distillation (KD) aims to distill the knowledge of a cumbersom...
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08/01/2019
Central Similarity Hashing via Hadamard matrix
Hashing has been widely used for efficient large-scale multimedia data r...
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06/09/2019
Distilling Object Detectors with Fine-grained Feature Imitation
State-of-the-art CNN based recognition models are often computationally ...
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04/17/2019
Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization
In this paper, we present a novel unsupervised video summarization model...
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03/22/2019
Few-shot Adaptive Faster R-CNN
To mitigate the detection performance drop caused by domain shift, we ai...
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03/11/2019
The Unconstrained Ear Recognition Challenge 2019 - ArXiv version With Appendix
This paper presents a summary of the 2019 Unconstrained Ear Recognition ...
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03/11/2019
The Unconstrained Ear Recognition Challenge 2019
This paper presents a summary of the 2019 Unconstrained Ear Recognition ...
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07/16/2018