b'Hongsheng Li'

research

∙ 06/27/2022

ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning for Action Recognition

Capitalizing on large pre-trained models for various downstream tasks of...

Junting Pan, et al. ∙

research

∙ 06/22/2022

No Attention is Needed: Grouped Spatial-temporal Shift for Simple and Efficient Video Restorers

Video restoration, aiming at restoring clear frames from degraded videos...

Dasong Li, et al. ∙

research

∙ 06/19/2022

3D Object Detection for Autonomous Driving: A Review and New Outlooks

Autonomous driving, in recent years, has been receiving increasing atten...

Jiageng Mao, et al. ∙

research

∙ 06/16/2022

Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields

Capitalizing on the recent advances in image generation models, existing...

Keqiang Sun, et al. ∙

research

∙ 06/09/2022

Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs

To build an artificial neural network like the biological intelligence s...

Jinguo Zhu, et al. ∙

research

∙ 06/07/2022

Spatial Parsing and Dynamic Temporal Pooling networks for Human-Object Interaction detection

The key of Human-Object Interaction(HOI) recognition is to infer the rel...

Hongsheng Li, et al. ∙

research

∙ 05/28/2022

Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training

Masked Autoencoders (MAE) have shown great potentials in self-supervised...

Renrui Zhang, et al. ∙

research

∙ 05/12/2022

MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection

Accurate and reliable 3D detection is vital for many applications includ...

Xuesong Chen, et al. ∙

research

∙ 05/10/2022

Efficient Burst Raw Denoising with Variance Stabilization and Multi-frequency Denoising Network

With the growing popularity of smartphones, capturing high-quality image...

Dasong Li, et al. ∙

research

∙ 05/08/2022

ConvMAE: Masked Convolution Meets Masked Autoencoders

Vision Transformers (ViT) become widely-adopted architectures for variou...

Peng Gao, et al. ∙

research

∙ 05/06/2022

EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers

Self-attention based models such as vision transformers (ViTs) have emer...

Junting Pan, et al. ∙

research

∙ 04/25/2022

Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis

This work targets at using a general deep learning framework to synthesi...

Wei Cheng, et al. ∙

research

∙ 04/24/2022

Simulating Fluids in Real-World Still Images

In this work, we tackle the problem of real-world fluid animation from a...

Siming Fan, et al. ∙

research

∙ 04/05/2022

RBGNet: Ray-based Grouping for 3D Object Detection

As a fundamental problem in computer vision, 3D object detection is expe...

Haiyang Wang, et al. ∙

research

∙ 03/30/2022

FlowFormer: A Transformer Architecture for Optical Flow

We introduce Optical Flow TransFormer (FlowFormer), a transformer-based ...

Zhaoyang Huang, et al. ∙

research

∙ 03/29/2022

Learning a Structured Latent Space for Unsupervised Point Cloud Completion

Unsupervised point cloud completion aims at estimating the corresponding...

Yingjie Cai, et al. ∙

research

∙ 03/24/2022

MonoDETR: Depth-aware Transformer for Monocular 3D Object Detection

Monocular 3D object detection has long been a challenging task in autono...

Renrui Zhang, et al. ∙

research

∙ 03/24/2022

RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization

6-DoF object pose estimation from a monocular image is challenging, and ...

Yan Xu, et al. ∙

research

∙ 03/14/2022

LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network

With the rapid advances of autonomous driving, it becomes critical to eq...

Fangzhou Hong, et al. ∙

research

∙ 02/27/2022

Robust Self-Supervised LiDAR Odometry via Representative Structure Discovery and 3D Inherent Error Modeling

The correct ego-motion estimation basically relies on the understanding ...

Yan Xu, et al. ∙

research

∙ 02/09/2022

Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning

In this paper, we propose a simple and general framework for self-superv...

Kexue Fu, et al. ∙

research

∙ 01/24/2022

UniFormer: Unifying Convolution and Self-attention for Visual Recognition

It is a challenging task to learn discriminative representation from ima...

Kunchang Li, et al. ∙

research

∙ 01/12/2022

Uniformer: Unified Transformer for Efficient Spatiotemporal Representation Learning

It is a challenging task to learn rich and multi-scale spatiotemporal se...

Kunchang Li, et al. ∙

research

∙ 01/11/2022

Pyramid Fusion Transformer for Semantic Segmentation

The recently proposed MaskFormer <cit.> gives a refreshed perspective on...

Zipeng Qin, et al. ∙

research

∙ 12/04/2021

PointCLIP: Point Cloud Understanding by CLIP

Recently, zero-shot and few-shot learning via Contrastive Vision-Languag...

Renrui Zhang, et al. ∙

research

∙ 12/02/2021

Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks

Biological intelligence systems of animals perceive the world by integra...

Xizhou Zhu, et al. ∙

research

∙ 11/29/2021

A Simple Long-Tailed Recognition Baseline via Vision-Language Model

The visual world naturally exhibits a long-tailed distribution of open c...

Teli Ma, et al. ∙

research

∙ 11/29/2021

IDR: Self-Supervised Image Denoising via Iterative Data Refinement

The lack of large-scale noisy-clean image pairs restricts supervised den...

Yi Zhang, et al. ∙

research

∙ 11/06/2021

Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling

Contrastive Vision-Language Pre-training, known as CLIP, has provided a ...

Renrui Zhang, et al. ∙

research

∙ 10/10/2021

Rethinking Noise Synthesis and Modeling in Raw Denoising

The lack of large-scale real raw image denoising dataset gives rise to c...

Yi Zhang, et al. ∙

research

∙ 09/12/2021

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception

State-of-the-art methods for driving-scene LiDAR-based perception (inclu...

Xinge Zhu, et al. ∙

research

∙ 09/07/2021

FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting

Transformer, as a strong and flexible architecture for modelling long-ra...

Rui Liu, et al. ∙

research

∙ 09/06/2021

Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation

3D human shape and pose estimation is the essential task for human motio...

Ziniu Wan, et al. ∙

research

∙ 08/19/2021

Spatio-Temporal Interaction Graph Parsing Networks for Human-Object Interaction Recognition

For a given video-based Human-Object Interaction scene, modeling the spa...

Ning Wang, et al. ∙

research

∙ 08/18/2021

LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector

Stereo-based 3D detection aims at detecting 3D object bounding boxes fro...

Xiaoyang Guo, et al. ∙

research

∙ 08/17/2021

LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation

Camera and 3D LiDAR sensors have become indispensable devices in modern ...

Lin Zhao, et al. ∙

research

∙ 08/15/2021

ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection

In this paper, we present a self-training method, named ST3D++, with a h...

Jihan Yang, et al. ∙

research

∙ 08/14/2021

Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization

As a challenging task of high-level video understanding, weakly supervis...

Linjiang Huang, et al. ∙

research

∙ 08/11/2021

Instance-weighted Central Similarity for Multi-label Image Retrieval

Deep hashing has been widely applied to large-scale image retrieval by e...

Zhiwei Zhang, et al. ∙

research

∙ 07/23/2021

Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency

Deep learning-based 3D object detection has achieved unprecedented succe...

Zhipeng Luo, et al. ∙

research

∙ 07/07/2021

Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification

The amount of medical images for training deep classification models is ...

Xiaohan Xing, et al. ∙

research

∙ 07/02/2021

Mixed Supervision Learning for Whole Slide Image Classification

Weak supervision learning on classification labels has demonstrated high...

Jiahui Li, et al. ∙

research

∙ 06/04/2021

Scalable Transformers for Neural Machine Translation

Transformer has been widely adopted in Neural Machine Translation (NMT) ...

Peng Gao, et al. ∙

research

∙ 06/02/2021

Container: Context Aggregation Network

Convolutional neural networks (CNNs) are ubiquitous in computer vision, ...

Peng Gao, et al. ∙

research

∙ 05/23/2021

VS-Net: Voting with Segmentation for Visual Localization

Visual localization is of great importance in robotics and computer visi...

Zhaoyang Huang, et al. ∙

research

∙ 05/06/2021

Inverting Generative Adversarial Renderer for Face Reconstruction

Given a monocular face image as input, 3D face geometry reconstruction a...

Jingtan Piao, et al. ∙

research

∙ 04/14/2021

Decoupled Spatial-Temporal Transformer for Video Inpainting

Video inpainting aims to fill the given spatiotemporal holes with realis...

Rui Liu, et al. ∙

research

∙ 04/08/2021

Semantic Scene Completion via Integrating Instances and Scene in-the-Loop

Semantic Scene Completion aims at reconstructing a complete 3D scene wit...

Yingjie Cai, et al. ∙

research

∙ 04/07/2021

LIFE: Lighting Invariant Flow Estimation

We tackle the problem of estimating flow between two images with large l...

Zhaoyang Huang, et al. ∙

research

∙ 04/05/2021

FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images

Radiotherapy is a treatment where radiation is used to eliminate cancer ...

Yunhe Gao, et al. ∙

Hongsheng Li

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