b'Xinchao Wang'

research

∙ 08/28/2023

Priority-Centric Human Motion Generation in Discrete Latent Space

Text-to-motion generation is a formidable task, aiming to produce human ...

0 Hanyang Kong, et al. ∙

research

∙ 08/23/2023

SG-Former: Self-guided Transformer with Evolving Token Reallocation

Vision Transformer has demonstrated impressive success across various vi...

0 Sucheng Ren, et al. ∙

research

∙ 08/21/2023

Diffusion Model as Representation Learner

Diffusion Probabilistic Models (DPMs) have recently demonstrated impress...

0 Xingyi Yang, et al. ∙

research

∙ 08/18/2023

Diffusion Models for Image Restoration and Enhancement – A Comprehensive Survey

Image restoration (IR) has been an indispensable and challenging task in...

0 Xin Li, et al. ∙

research

∙ 08/17/2023

Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction

Exploring spatial-temporal dependencies from observed motions is one of ...

0 Chenxin Xu, et al. ∙

research

∙ 08/08/2023

PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection

Recently, polar-based representation has shown promising properties in p...

0 Ming Nie, et al. ∙

research

∙ 07/14/2023

PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation

Unsupervised domain adaptation (UDA) has witnessed remarkable advancemen...

0 Dapeng Hu, et al. ∙

research

∙ 06/14/2023

Distribution Shift Inversion for Out-of-Distribution Prediction

Machine learning society has witnessed the emergence of a myriad of Out-...

0 Runpeng Yu, et al. ∙

research

∙ 06/03/2023

Efficient Multi-Grained Knowledge Reuse for Class Incremental Segmentation

Class Incremental Semantic Segmentation (CISS) has been a trend recently...

0 Zhihe Lu, et al. ∙

research

∙ 05/19/2023

LLM-Pruner: On the Structural Pruning of Large Language Models

Large language models (LLMs) have shown remarkable capabilities in langu...

0 Xinyin Ma, et al. ∙

research

∙ 05/18/2023

Structural Pruning for Diffusion Models

Generative modeling has recently undergone remarkable advancements, prim...

0 Gongfan Fang, et al. ∙

research

∙ 05/11/2023

Can SAM Boost Video Super-Resolution?

The primary challenge in video super-resolution (VSR) is to handle large...

0 Zhihe Lu, et al. ∙

research

∙ 04/28/2023

Deep Graph Reprogramming

In this paper, we explore a novel model reusing task tailored for graph ...

0 Yongcheng Jing, et al. ∙

research

∙ 04/24/2023

Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer

Transformer-based models achieve favorable performance in artistic style...

0 Hao Tang, et al. ∙

research

∙ 04/23/2023

Segment Anything in Non-Euclidean Domains: Challenges and Opportunities

The recent work known as Segment Anything (SA) has made significant stri...

0 Yongcheng Jing, et al. ∙

research

∙ 04/19/2023

Anything-3D: Towards Single-view Anything Reconstruction in the Wild

3D reconstruction from a single-RGB image in unconstrained real-world sc...

0 Qiuhong Shen, et al. ∙

research

∙ 04/19/2023

Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate

Style transfer aims to render the style of a given image for style refer...

0 Songhua Liu, et al. ∙

research

∙ 04/15/2023

Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation

Temporal graphs exhibit dynamic interactions between nodes over continuo...

0 Tongya Zheng, et al. ∙

research

∙ 04/05/2023

TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration

We propose a novel task for generating 3D dance movements that simultane...

0 Kehong Gong, et al. ∙

research

∙ 03/20/2023

EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning

Learning to predict agent motions with relationship reasoning is importa...

0 Chenxin Xu, et al. ∙

research

∙ 03/19/2023

Partial Network Cloning

In this paper, we study a novel task that enables partial knowledge tran...

0 Jingwen Ye, et al. ∙

research

∙ 01/30/2023

DepGraph: Towards Any Structural Pruning

Structural pruning enables model acceleration by removing structurally-g...

0 Gongfan Fang, et al. ∙

research

∙ 01/17/2023

Dataset Distillation: A Comprehensive Review

Recent success of deep learning can be largely attributed to the huge am...

0 Ruonan Yu, et al. ∙

research

∙ 11/27/2022

Diffusion Probabilistic Model Made Slim

Despite the recent visually-pleasing results achieved, the massive compu...

0 Xingyi Yang, et al. ∙

research

∙ 11/18/2022

Task Residual for Tuning Vision-Language Models

Large-scale vision-language models (VLMs) pre-trained on billion-level d...

0 Tao Yu, et al. ∙

research

∙ 10/30/2022

Dataset Distillation via Factorization

In this paper, we study \xw{dataset distillation (DD)}, from a novel per...

0 Songhua Liu, et al. ∙

research

∙ 10/24/2022

Reachability-Aware Laplacian Representation in Reinforcement Learning

In Reinforcement Learning (RL), Laplacian Representation (LapRep) is a t...

0 Kaixin Wang, et al. ∙

research

∙ 10/17/2022

Scaling Shifting Your Features: A New Baseline for Efficient Model Tuning

Existing fine-tuning methods either tune all parameters of the pre-train...

0 Dongze Lian, et al. ∙

research

∙ 10/10/2022

Training Spiking Neural Networks with Local Tandem Learning

Spiking neural networks (SNNs) are shown to be more biologically plausib...

0 Qu Yang, et al. ∙

research

∙ 10/09/2022

Attention Diversification for Domain Generalization

Convolutional neural networks (CNNs) have demonstrated gratifying result...

0 Rang Meng, et al. ∙

research

∙ 08/25/2022

Bottom-Up 2D Pose Estimation via Dual Anatomical Centers for Small-Scale Persons

In multi-person 2D pose estimation, the bottom-up methods simultaneously...

12 Yu Cheng, et al. ∙

research

∙ 08/01/2022

AvatarGen: a 3D Generative Model for Animatable Human Avatars

Unsupervised generation of clothed virtual humans with various appearanc...

0 Jianfeng Zhang, et al. ∙

research

∙ 07/27/2022

Federated Selective Aggregation for Knowledge Amalgamation

In this paper, we explore a new knowledge-amalgamation problem, termed F...

0 Donglin Xie, et al. ∙

research

∙ 07/24/2022

Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection

Anomaly detection aims at identifying deviant samples from the normal da...

14 Gaoang Wang, et al. ∙

research

∙ 07/24/2022

Learning Graph Neural Networks for Image Style Transfer

State-of-the-art parametric and non-parametric style transfer approaches...

0 Yongcheng Jing, et al. ∙

research

∙ 07/17/2022

Learning with Recoverable Forgetting

Life-long learning aims at learning a sequence of tasks without forgetti...

0 Jingwen Ye, et al. ∙

research

∙ 07/13/2022

DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation

One key challenge of exemplar-guided image generation lies in establishi...

0 Songhua Liu, et al. ∙

research

∙ 07/05/2022

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework

Despite the promising results achieved, state-of-the-art interactive rei...

0 Shunyu Liu, et al. ∙

research

∙ 07/04/2022

Factorizing Knowledge in Neural Networks

In this paper, we explore a novel and ambitious knowledge-transfer task,...

0 Xingyi Yang, et al. ∙

research

∙ 06/14/2022

Slimmable Domain Adaptation

Vanilla unsupervised domain adaptation methods tend to optimize the mode...

0 Rang Meng, et al. ∙

research

∙ 06/13/2022

Learning Domain Adaptive Object Detection with Probabilistic Teacher

Self-training for unsupervised domain adaptive object detection is a cha...

0 Meilin Chen, et al. ∙

research

∙ 05/23/2022

Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction

How to accurately predict the properties of molecules is an essential pr...

8 Kuangqi Zhou, et al. ∙

research

∙ 05/23/2022

FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders

Face recognition, as one of the most successful applications in artifici...

16 Kai Wang, et al. ∙

research

∙ 05/16/2022

Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt

Data-free knowledge distillation (DFKD) conducts knowledge distillation ...

0 Xinyin Ma, et al. ∙

research

∙ 04/30/2022

Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels

Learning with noisy labels has aroused much research interest since data...

0 Kai Wang, et al. ∙

research

∙ 03/29/2022

PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision

Existing self-supervised 3D human pose estimation schemes have largely r...

0 Kehong Gong, et al. ∙

research

∙ 03/25/2022

Point2Seq: Detecting 3D Objects as Sequences

We present a simple and effective framework, named Point2Seq, for 3D obj...

0 Yujing Xue, et al. ∙

research

∙ 03/03/2022

CAFE: Learning to Condense Dataset by Aligning Features

Dataset condensation aims at reducing the network training effort throug...

23 Kai Wang, et al. ∙

research

∙ 12/21/2021

PONet: Robust 3D Human Pose Estimation via Learning Orientations Only

Conventional 3D human pose estimation relies on first detecting 2D body ...

2 Jue Wang, et al. ∙

research

∙ 12/12/2021

Up to 100x Faster Data-free Knowledge Distillation

Data-free knowledge distillation (DFKD) has recently been attracting inc...

0 Gongfan Fang, et al. ∙

Xinchao Wang

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