Haochen Wang | DeepAI

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Efstratios Gavves
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∙ 09/07/2023

DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions

As it is empirically observed that Vision Transformers (ViTs) are quite ...

0 Haochen Wang, et al. ∙

∙ 06/04/2023

Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation

The crux of label-efficient semantic segmentation is to produce high-qua...

0 Haochen Wang, et al. ∙

∙ 06/03/2023

Balancing Logit Variation for Long-tailed Semantic Segmentation

Semantic segmentation usually suffers from a long-tail data distribution...

0 Yuchao Wang, et al. ∙

∙ 05/23/2023

Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation

Domain adaptive semantic segmentation aims to transfer knowledge from a ...

0 Haochen Wang, et al. ∙

∙ 04/23/2023

PiClick: Picking the desired mask in click-based interactive segmentation

Click-based interactive segmentation enables productive pixel-level anno...

0 Cilin Yan, et al. ∙

∙ 04/12/2023

Hard Patches Mining for Masked Image Modeling

Masked image modeling (MIM) has attracted much research attention due to...

0 Haochen Wang, et al. ∙

∙ 04/04/2023

Towards Open-Vocabulary Video Instance Segmentation

Video Instance Segmentation(VIS) aims at segmenting and categorizing obj...

2 Haochen Wang, et al. ∙

∙ 12/09/2022

LoopDraw: a Loop-Based Autoregressive Model for Shape Synthesis and Editing

There is no settled universal 3D representation for geometry with many a...

0 Nam Anh Dinh, et al. ∙

∙ 12/01/2022

Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation

A diffusion model learns to predict a vector field of gradients. We prop...

0 Haochen Wang, et al. ∙

∙ 09/15/2022

Learning from Future: A Novel Self-Training Framework for Semantic Segmentation

Self-training has shown great potential in semi-supervised learning. Its...

0 Ye Du, et al. ∙

∙ 04/20/2022

NFormer: Robust Person Re-identification with Neighbor Transformer

Person re-identification aims to retrieve persons in highly varying sett...

8 Haochen Wang, et al. ∙

∙ 03/08/2022

Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

The crux of semi-supervised semantic segmentation is to assign adequate ...

12 Yuchao Wang, et al. ∙

∙ 02/02/2022

Decoupled IoU Regression for Object Detection

Non-maximum suppression (NMS) is widely used in object detection pipelin...

8 Yan Gao, et al. ∙

∙ 05/14/2021

Attentional Prototype Inference for Few-Shot Semantic Segmentation

This paper aims to address few-shot semantic segmentation. While existin...

3 Haoliang Sun, et al. ∙

∙ 02/09/2021

SwiftNet: Real-time Video Object Segmentation

In this work we present SwiftNet for real-time semi-supervised video obj...

0 Haochen Wang, et al. ∙

∙ 04/04/2020

Pixel Consensus Voting for Panoptic Segmentation

The core of our approach, Pixel Consensus Voting, is a framework for ins...

9 Haochen Wang, et al. ∙

∙ 08/01/2019

DIODE: A Dense Indoor and Outdoor DEpth Dataset

We introduce DIODE, a dataset that contains thousands of diverse high re...

0 Igor Vasiljevic, et al. ∙

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