b'Ping Luo'

research

∙ 08/16/2022

PoseTrans: A Simple Yet Effective Pose Transformation Augmentation for Human Pose Estimation

Human pose estimation aims to accurately estimate a wide variety of huma...

Wentao Jiang, et al. ∙

research

∙ 07/22/2022

3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal

Estimating 3D interacting hand pose from a single RGB image is essential...

Hao Meng, et al. ∙

research

∙ 07/21/2022

Pose for Everything: Towards Category-Agnostic Pose Estimation

Existing works on 2D pose estimation mainly focus on a certain category,...

Lumin Xu, et al. ∙

research

∙ 07/14/2022

Towards Grand Unification of Object Tracking

We present a unified method, termed Unicorn, that can simultaneously sol...

Bin Yan, et al. ∙

research

∙ 07/07/2022

Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space

This paper addresses an important problem of ranking the pre-trained dee...

Wenqi Shao, et al. ∙

research

∙ 07/03/2022

Exploiting Context Information for Generic Event Boundary Captioning

Generic Event Boundary Captioning (GEBC) aims to generate three sentence...

Jinrui Zhang, et al. ∙

research

∙ 06/17/2022

VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix

Existing vision-language pre-training (VLP) methods primarily rely on pa...

Teng Wang, et al. ∙

research

∙ 06/17/2022

CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer

Transformer has achieved great successes in learning vision and language...

Yao Mu, et al. ∙

research

∙ 06/16/2022

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Despite the considerable progress in automatic abdominal multi-organ seg...

Yuanfeng Ji, et al. ∙

research

∙ 06/08/2022

CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving

Unsupervised contrastive learning for indoor-scene point clouds has achi...

Runjian Chen, et al. ∙

research

∙ 05/26/2022

AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Although the pre-trained Vision Transformers (ViTs) achieved great succe...

Shoufa Chen, et al. ∙

research

∙ 05/23/2022

Flow-based Recurrent Belief State Learning for POMDPs

Partially Observable Markov Decision Process (POMDP) provides a principl...

Xiaoyu Chen, et al. ∙

research

∙ 05/16/2022

An Empirical Investigation of Representation Learning for Imitation

Imitation learning often needs a large demonstration set in order to han...

Xin Chen, et al. ∙

research

∙ 04/26/2022

MILES: Visual BERT Pre-training with Injected Language Semantics for Video-text Retrieval

Dominant pre-training work for video-text retrieval mainly adopt the "du...

Yuying Ge, et al. ∙

research

∙ 04/21/2022

LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries

Third-party libraries (TPLs) are reused frequently in software applicati...

Wei Tang, et al. ∙

research

∙ 04/19/2022

Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer

Vision transformers have achieved great successes in many computer visio...

Wang Zeng, et al. ∙

research

∙ 04/13/2022

Semantic-Aware Pretraining for Dense Video Captioning

This report describes the details of our approach for the event dense-ca...

Teng Wang, et al. ∙

research

∙ 04/11/2022

M^2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

In this paper, we propose M^2BEV, a unified framework that jointly perfo...

Enze Xie, et al. ∙

research

∙ 04/07/2022

DaViT: Dual Attention Vision Transformers

In this work, we introduce Dual Attention Vision Transformers (DaViT), a...

Mingyu Ding, et al. ∙

research

∙ 03/23/2022

Scale-Equivalent Distillation for Semi-Supervised Object Detection

Recent Semi-Supervised Object Detection (SS-OD) methods are mainly based...

Qiushan Guo, et al. ∙

research

∙ 03/20/2022

End-to-End Video Text Spotting with Transformer

Recent video text spotting methods usually require the three-staged pipe...

Weijia Wu, et al. ∙

research

∙ 03/16/2022

WegFormer: Transformers for Weakly Supervised Semantic Segmentation

Although convolutional neural networks (CNNs) have achieved remarkable p...

Chunmeng Liu, et al. ∙

research

∙ 02/21/2022

Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning

One of the key challenges in visual Reinforcement Learning (RL) is to le...

Zhecheng Yuan, et al. ∙

research

∙ 02/07/2022

Context Autoencoder for Self-Supervised Representation Learning

We present a novel masked image modeling (MIM) approach, context autoenc...

Xiaokang Chen, et al. ∙

research

∙ 01/24/2022

DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery – A Focus on Affinity Prediction Problems with Noise Annotations

AI-aided drug discovery (AIDD) is gaining increasing popularity due to i...

Yuanfeng Ji, et al. ∙

research

∙ 01/21/2022

Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization

Localizing keypoints of an object is a basic visual problem. However, su...

Can Wang, et al. ∙

research

∙ 01/17/2022

RestoreFormer: High-Quality Blind Face Restoration From Undegraded Key-Value Pairs

Blind face restoration is to recover a high-quality face image from unkn...

Zhouxia Wang, et al. ∙

research

∙ 01/13/2022

MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning

Dancing video retargeting aims to synthesize a video that transfers the ...

Yuying Ge, et al. ∙

research

∙ 01/13/2022

BridgeFormer: Bridging Video-text Retrieval with Multiple Choice Questions

Pre-training a model to learn transferable video-text representation for...

Yuying Ge, et al. ∙

research

∙ 01/03/2022

Language as Queries for Referring Video Object Segmentation

Referring video object segmentation (R-VOS) is an emerging cross-modal t...

Jiannan Wu, et al. ∙

research

∙ 12/06/2021

MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples

Recent advanced methods for fashion landmark detection are mainly driven...

Yuying Ge, et al. ∙

research

∙ 12/05/2021

Dynamic Token Normalization Improves Vision Transformer

Vision Transformer (ViT) and its variants (e.g., Swin, PVT) have achieve...

Wenqi Shao, et al. ∙

research

∙ 11/29/2021

DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion

A typical pipeline for multi-object tracking (MOT) is to use a detector ...

Peize Sun, et al. ∙

research

∙ 11/03/2021

FAST: Searching for a Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel Representation

We propose an accurate and efficient scene text detection framework, ter...

Zhe Chen, et al. ∙

research

∙ 10/28/2021

Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language

In this work, we propose a unified framework, called Visual Reasoning wi...

Mingyu Ding, et al. ∙

research

∙ 10/13/2021

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Multi-object tracking (MOT) aims at estimating bounding boxes and identi...

Yifu Zhang, et al. ∙

research

∙ 10/11/2021

Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning

Studies on self-supervised visual representation learning (SSL) improve ...

Chongjian Ge, et al. ∙

research

∙ 10/06/2021

Objects in Semantic Topology

A more realistic object detection paradigm, Open-World Object Detection,...

Shuo Yang, et al. ∙

research

∙ 09/18/2021

Towards High-Quality Temporal Action Detection with Sparse Proposals

Temporal Action Detection (TAD) is an essential and challenging topic in...

Jiannan Wu, et al. ∙

research

∙ 09/08/2021

Panoptic SegFormer

We present Panoptic SegFormer, a general framework for end-to-end panopt...

Zhiqi Li, et al. ∙

research

∙ 09/02/2021

Adversarial Robustness for Unsupervised Domain Adaptation

Extensive Unsupervised Domain Adaptation (UDA) studies have shown great ...

Muhammad Awais, et al. ∙

research

∙ 08/30/2021

A New Lever Function with Adequate Indeterminacy

The key transform of the REESSE1+ asymmetrical cryptosystem is Ci = (Ai ...

Shenghui Su, et al. ∙

research

∙ 08/17/2021

End-to-End Dense Video Captioning with Parallel Decoding

Dense video captioning aims to generate multiple associated captions wit...

Teng Wang, et al. ∙

research

∙ 07/21/2021

CycleMLP: A MLP-like Architecture for Dense Prediction

This paper presents a simple MLP-like architecture, CycleMLP, which is a...

Shoufa Chen, et al. ∙

research

∙ 07/08/2021

Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation

Precise localization of polyp is crucial for early cancer screening in g...

Lingyun Wu, et al. ∙

research

∙ 06/28/2021

Multi-Compound Transformer for Accurate Biomedical Image Segmentation

The recent vision transformer(i.e.for image classification) learns non-l...

Yuanfeng Ji, et al. ∙

research

∙ 05/31/2021

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

We present SegFormer, a simple, efficient yet powerful semantic segmenta...

Enze Xie, et al. ∙

research

∙ 05/21/2021

ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search

Human pose estimation has achieved significant progress in recent years....

Lumin Xu, et al. ∙

research

∙ 05/14/2021

Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application

In this paper, we study the problem of extracting variable-depth "logica...

Rongyu Cao, et al. ∙

research

∙ 05/13/2021

BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening

This work presents a probabilistic channel pruning method to accelerate ...

Wenqi Shao, et al. ∙

Ping Luo

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