Xiaopeng Zhang

research

∙ 08/08/2023

Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation

Transformers have become the primary backbone of the computer vision com...

0 Shuangrui Ding, et al. ∙

research

∙ 06/28/2023

Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners

Representation learning has been evolving from traditional supervised tr...

0 Bowen Shi, et al. ∙

research

∙ 06/14/2023

Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models

The AI community has been pursuing algorithms known as artificial genera...

0 Lingxi Xie, et al. ∙

research

∙ 05/22/2023

ControlVideo: Training-free Controllable Text-to-Video Generation

Text-driven diffusion models have unlocked unprecedented abilities in im...

0 Yabo Zhang, et al. ∙

research

∙ 04/24/2023

Segment Anything in 3D with NeRFs

The Segment Anything Model (SAM) has demonstrated its effectiveness in s...

0 Jiazhong Cen, et al. ∙

research

∙ 03/21/2023

Multi-modal Prompting for Low-Shot Temporal Action Localization

In this paper, we consider the problem of temporal action localization u...

1 Chen Ju, et al. ∙

research

∙ 03/19/2023

SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations

Reverse engineering CAD models from raw geometry is a classic but strenu...

0 Pu Li, et al. ∙

research

∙ 03/09/2023

R-Tuning: Regularized Prompt Tuning in Open-Set Scenarios

In realistic open-set scenarios where labels of a part of testing data a...

0 Ning Liao, et al. ∙

research

∙ 03/09/2023

Rethinking Visual Prompt Learning as Masked Visual Token Modeling

Prompt learning has achieved great success in efficiently exploiting lar...

0 Ning Liao, et al. ∙

research

∙ 02/27/2023

Self Correspondence Distillation for End-to-End Weakly-Supervised Semantic Segmentation

Efficiently training accurate deep models for weakly supervised semantic...

0 Rongtao Xu, et al. ∙

research

∙ 12/12/2022

Feature Calibration Network for Occluded Pedestrian Detection

Pedestrian detection in the wild remains a challenging problem especiall...

0 Tianliang Zhang, et al. ∙

research

∙ 11/23/2022

Integrally Pre-Trained Transformer Pyramid Networks

In this paper, we present an integral pre-training framework based on ma...

0 Yunjie Tian, et al. ∙

research

∙ 11/15/2022

Security Closure of IC Layouts Against Hardware Trojans

Due to cost benefits, supply chains of integrated circuits (ICs) are lar...

0 Fangzhou Wang, et al. ∙

research

∙ 10/01/2022

Motion-inductive Self-supervised Object Discovery in Videos

In this paper, we consider the task of unsupervised object discovery in ...

7 Shuangrui Ding, et al. ∙

research

∙ 07/31/2022

SdAE: Self-distillated Masked Autoencoder

With the development of generative-based self-supervised learning (SSL) ...

0 Yabo Chen, et al. ∙

research

∙ 07/28/2022

Visual Recognition by Request

In this paper, we present a novel protocol of annotation and evaluation ...

0 Chufeng Tang, et al. ∙

research

∙ 07/23/2022

Active Pointly-Supervised Instance Segmentation

The requirement of expensive annotations is a major burden for training ...

0 Chufeng Tang, et al. ∙

research

∙ 06/27/2022

SARNet: Semantic Augmented Registration of Large-Scale Urban Point Clouds

Registering urban point clouds is a quite challenging task due to the la...

0 Chao Liu, et al. ∙

research

∙ 06/10/2022

Masked Autoencoders are Robust Data Augmentors

Deep neural networks are capable of learning powerful representations to...

0 Haohang Xu, et al. ∙

research

∙ 05/30/2022

Fast Dynamic Radiance Fields with Time-Aware Neural Voxels

Neural radiance fields (NeRF) have shown great success in modeling 3D sc...

0 Jiemin Fang, et al. ∙

research

∙ 05/21/2022

Gradient Concealment: Free Lunch for Defending Adversarial Attacks

Recent studies show that the deep neural networks (DNNs) have achieved g...

0 Sen Pei, et al. ∙

research

∙ 03/27/2022

Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers

The past year has witnessed a rapid development of masked image modeling...

0 Yunjie Tian, et al. ∙

research

∙ 03/17/2022

Deep Point Cloud Simplification for High-quality Surface Reconstruction

The growing size of point clouds enlarges consumptions of storage, trans...

0 Yuanqi Li, et al. ∙

research

∙ 03/14/2022

MTLDesc: Looking Wider to Describe Better

Limited by the locality of convolutional neural networks, most existing ...

0 Changwei Wang, et al. ∙

research

∙ 03/11/2022

TAPE: Task-Agnostic Prior Embedding for Image Restoration

Learning an generalized prior for natural image restoration is an import...

0 Lin Liu, et al. ∙

research

∙ 01/29/2022

The KFIoU Loss for Rotated Object Detection

Differing from the well-developed horizontal object detection area where...

0 Xue Yang, et al. ∙

research

∙ 11/30/2021

NeuSample: Neural Sample Field for Efficient View Synthesis

Neural radiance fields (NeRF) have shown great potentials in representin...

0 Jiemin Fang, et al. ∙

research

∙ 11/25/2021

Semantic-Aware Generation for Self-Supervised Visual Representation Learning

In this paper, we propose a self-supervised visual representation learni...

1 Yunjie Tian, et al. ∙

research

∙ 11/16/2021

Self-supervised High-fidelity and Re-renderable 3D Facial Reconstruction from a Single Image

Reconstructing high-fidelity 3D facial texture from a single image is a ...

8 Mingxin Yang, et al. ∙

research

∙ 07/04/2021

Bag of Instances Aggregation Boosts Self-supervised Learning

Recent advances in self-supervised learning have experienced remarkable ...

0 Haohang Xu, et al. ∙

research

∙ 06/08/2021

Multi-dataset Pretraining: A Unified Model for Semantic Segmentation

Collecting annotated data for semantic segmentation is time-consuming an...

0 Bowen Shi, et al. ∙

research

∙ 06/04/2021

Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling

In many industrial applications like online advertising and recommendati...

0 Zhenhui Xu, et al. ∙

research

∙ 05/31/2021

MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens

Transformers have offered a new methodology of designing neural networks...

0 Jiemin Fang, et al. ∙

research

∙ 05/28/2021

What Is Considered Complete for Visual Recognition?

This is an opinion paper. We hope to deliver a key message that current ...

0 Lingxi Xie, et al. ∙

research

∙ 05/16/2021

Semi-supervised Contrastive Learning with Similarity Co-calibration

Semi-supervised learning acts as an effective way to leverage massive un...

0 Yuhang Zhang, et al. ∙

research

∙ 02/23/2021

Deep Deformation Detail Synthesis for Thin Shell Models

In physics-based cloth animation, rich folds and detailed wrinkles are a...

4 Lan Chen, et al. ∙

research

∙ 01/28/2021

Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss

Boundary discontinuity and its inconsistency to the final detection metr...

0 Xue Yang, et al. ∙

research

∙ 12/04/2020

Hierarchical Semantic Aggregation for Contrastive Representation Learning

Self-supervised learning based on instance discrimination has shown rema...

3 Haohang Xu, et al. ∙

research

∙ 11/19/2020

Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations

Contrastive learning has achieved great success in self-supervised visua...

5 Xinyue Huo, et al. ∙

research

∙ 11/19/2020

Scene text removal via cascaded text stroke detection and erasing

Recent learning-based approaches show promising performance improvement ...

2 Xuewei Bian, et al. ∙

research

∙ 11/17/2020

Can Semantic Labels Assist Self-Supervised Visual Representation Learning?

Recently, contrastive learning has largely advanced the progress of unsu...

0 Longhui Wei, et al. ∙

research

∙ 11/05/2020

Center-wise Local Image Mixture For Contrastive Representation Learning

Recent advances in unsupervised representation learning have experienced...

2 Hao Li, et al. ∙

research

∙ 08/04/2020

Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap

Neural architecture search (NAS) has attracted increasing attentions in ...

41 Lingxi Xie, et al. ∙

research

∙ 07/29/2020

Accurate 2D soft segmentation of medical image via SoftGAN network

Accurate 2D lung nodules segmentation from medical Computed Tomography (...

0 Changwei Wang, et al. ∙

research

∙ 06/25/2020

Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks

Conditional Generative Adversarial Networks (cGAN) were designed to gene...

0 Peng Zhou, et al. ∙

research

∙ 06/23/2020

Distilling Object Detectors with Task Adaptive Regularization

Current state-of-the-art object detectors are at the expense of high com...

9 Ruoyu Sun, et al. ∙

research

∙ 06/10/2020

A survey on deep hashing for image retrieval

Hashing has been widely used in approximate nearest search for large-sca...

0 Xiaopeng Zhang, et al. ∙

research

∙ 05/12/2020

Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients

Adversarial examples have been well known as a serious threat to deep ne...

0 Chengcheng Ma, et al. ∙

research

∙ 04/09/2020

Multi-feature super-resolution network for cloth wrinkle synthesis

Existing physical cloth simulators suffer from expensive computation and...

0 Lan Chen, et al. ∙

research

∙ 04/06/2020

Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition

Collecting fine-grained labels usually requires expert-level domain know...

3 Hao Li, et al. ∙

Xiaopeng Zhang

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