b'Li Yuan'

research

∙ 09/21/2023

Fully Transformer-Equipped Architecture for End-to-End Referring Video Object Segmentation

Referring Video Object Segmentation (RVOS) requires segmenting the objec...

0 Ping Li, et al. ∙

research

∙ 09/21/2023

Efficient Long-Short Temporal Attention Network for Unsupervised Video Object Segmentation

Unsupervised Video Object Segmentation (VOS) aims at identifying the con...

0 Ping Li, et al. ∙

research

∙ 07/14/2023

Learning Sparse Neural Networks with Identity Layers

The sparsity of Deep Neural Networks is well investigated to maximize th...

0 Mingjian Ni, et al. ∙

research

∙ 07/04/2023

Spike-driven Transformer

Spiking Neural Networks (SNNs) provide an energy-efficient deep learning...

0 Man Yao, et al. ∙

research

∙ 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...

0 Jiaxi Cui, et al. ∙

research

∙ 06/01/2023

Auto-Spikformer: Spikformer Architecture Search

The integration of self-attention mechanisms into Spiking Neural Network...

0 Kaiwei Che, et al. ∙

research

∙ 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...

0 Dongxu Yue, et al. ∙

research

∙ 05/23/2023

Temporal Contrastive Learning for Spiking Neural Networks

Biologically inspired spiking neural networks (SNNs) have garnered consi...

0 Haonan Qiu, et al. ∙

research

∙ 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...

0 Munan Ning, et al. ∙

research

∙ 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...

0 Peng Jin, et al. ∙

research

∙ 05/19/2023

PointGPT: Auto-regressively Generative Pre-training from Point Clouds

Large language models (LLMs) based on the generative pre-training transf...

0 Guangyan Chen, et al. ∙

research

∙ 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...

0 Zeyin Song, et al. ∙

research

∙ 03/25/2023

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

Contrastive learning-based video-language representation learning approa...

0 Peng Jin, et al. ∙

research

∙ 03/23/2023

Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation

Interactive segmentation enables users to segment as needed by providing...

0 Kehan Li, et al. ∙

research

∙ 03/17/2023

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model

Existing text-video retrieval solutions are, in essence, discriminant mo...

0 Peng Jin, et al. ∙

research

∙ 03/13/2023

Parallel Vertex Diffusion for Unified Visual Grounding

Unified visual grounding pursues a simple and generic technical route to...

0 Zesen Cheng, et al. ∙

research

∙ 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...

0 Zechen Xiong, et al. ∙

research

∙ 01/18/2023

MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation

Unsupervised domain adaption has been widely adopted in tasks with scarc...

0 Munan Ning, et al. ∙

research

∙ 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...

0 Li Yuan, et al. ∙

research

∙ 11/22/2022

Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation

Weakly supervised semantic segmentation is typically inspired by class a...

0 Zesen Cheng, et al. ∙

research

∙ 10/12/2022

Dynamic Clustering Network for Unsupervised Semantic Segmentation

Recently, the ability of self-supervised Vision Transformer (ViT) to rep...

0 Kehan Li, et al. ∙

research

∙ 09/29/2022

Spikformer: When Spiking Neural Network Meets Transformer

We consider two biologically plausible structures, the Spiking Neural Ne...

0 Zhaokun Zhou, et al. ∙

research

∙ 07/20/2022

Locality Guidance for Improving Vision Transformers on Tiny Datasets

While the Vision Transformer (VT) architecture is becoming trendy in com...

6 Kehan Li, et al. ∙

research

∙ 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...

0 Abdullah Shah, et al. ∙

research

∙ 04/03/2022

Improving Vision Transformers by Revisiting High-frequency Components

The transformer models have shown promising effectiveness in dealing wit...

0 Jiawang Bai, et al. ∙

research

∙ 01/28/2022

DynaMixer: A Vision MLP Architecture with Dynamic Mixing

Recently, MLP-like vision models have achieved promising performances on...

5 Ziyu Wang, et al. ∙

research

∙ 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...

0 Guangyan Chen, et al. ∙

research

∙ 09/15/2021

PnP-DETR: Towards Efficient Visual Analysis with Transformers

Recently, DETR pioneered the solution of vision tasks with transformers,...

10 PetsTime, et al. ∙

research

∙ 06/24/2021

VOLO: Vision Outlooker for Visual Recognition

Visual recognition has been dominated by convolutional neural networks (...

1 Li Yuan, et al. ∙

research

∙ 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...

0 Qibin Hou, et al. ∙

research

∙ 05/10/2021

Continual Learning via Bit-Level Information Preserving

Continual learning tackles the setting of learning different tasks seque...

0 Yujun Shi, et al. ∙

research

∙ 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...

0 Zihang Jiang, et al. ∙

research

∙ 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...

1 Zeke Xie, et al. ∙

research

∙ 01/28/2021

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

Transformers, which are popular for language modeling, have been explore...

34 Li Yuan, et al. ∙

research

∙ 11/11/2020

Adversarial images for the primate brain

Deep artificial neural networks have been proposed as a model of primate...

1 Li Yuan, et al. ∙

research

∙ 10/20/2020

Fast Video Salient Object Detection via Spatiotemporal Knowledge Distillation

Since the wide employment of deep learning frameworks in video salient o...

0 Tang Yi, et al. ∙

research

∙ 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...

1 Li Yuan, et al. ∙

research

∙ 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 ...

1 Li Yuan, et al. ∙

research

∙ 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-...

1 Li Yuan, et al. ∙

research

∙ 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...

6 Ping Li, et al. ∙

research

∙ 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 ...

0 Li Yuan, et al. ∙

research

∙ 09/25/2019

Revisit Knowledge Distillation: a Teacher-free Framework

Knowledge Distillation (KD) aims to distill the knowledge of a cumbersom...

29 Li Yuan, et al. ∙

research

∙ 08/01/2019

Central Similarity Hashing via Hadamard matrix

Hashing has been widely used for efficient large-scale multimedia data r...

2 Li Yuan, et al. ∙

research

∙ 06/09/2019

Distilling Object Detectors with Fine-grained Feature Imitation

State-of-the-art CNN based recognition models are often computationally ...

4 PetsTime, et al. ∙

research

∙ 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...

17 Li Yuan, et al. ∙

research

∙ 03/22/2019

Few-shot Adaptive Faster R-CNN

To mitigate the detection performance drop caused by domain shift, we ai...

24 PetsTime, et al. ∙

research

∙ 03/11/2019

The Unconstrained Ear Recognition Challenge 2019 - ArXiv version With Appendix

This paper presents a summary of the 2019 Unconstrained Ear Recognition ...

8 Žiga Emeršič, et al. ∙

research

∙ 03/11/2019

The Unconstrained Ear Recognition Challenge 2019

This paper presents a summary of the 2019 Unconstrained Ear Recognition ...

8 Žiga Emeršič, et al. ∙

research

∙ 07/16/2018

Object Relation Detection Based on One-shot Learning

Detecting the relations among objects, such as "cat on sofa" and "person...

6 Li Zhou, et al. ∙

Li Yuan

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