b'Dan Xu'

research

∙ 08/06/2023

MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation

This paper proposes a novel transformer-based framework that aims to enh...

0 Lian Xu, et al. ∙

research

∙ 08/05/2023

Learning Unified Decompositional and Compositional NeRF for Editable Novel View Synthesis

Implicit neural representations have shown powerful capacity in modeling...

0 Yuxin Wang, et al. ∙

research

∙ 07/28/2023

TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts

Learning discriminative task-specific features simultaneously for multip...

0 Hanrong Ye, et al. ∙

research

∙ 07/19/2023

Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head video Generation

Talking head video generation aims to animate a human face in a still im...

0 Fa-Ting Hong, et al. ∙

research

∙ 07/16/2023

Contrastive Multi-Task Dense Prediction

This paper targets the problem of multi-task dense prediction which aims...

0 Siwei Yang, et al. ∙

research

∙ 06/08/2023

InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding

Multi-task scene understanding aims to design models that can simultaneo...

8 Hanrong Ye, et al. ∙

research

∙ 05/10/2023

DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation

Predominant techniques on talking head generation largely depend on 2D i...

3 Fa-Ting Hong, et al. ∙

research

∙ 04/10/2023

DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment

This paper presents DetCLIPv2, an efficient and scalable training framew...

5 Lewei Yao, et al. ∙

research

∙ 04/03/2023

Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth Estimation

This report serves as a supplementary document for TaskPrompter, detaili...

2 Hanrong Ye, et al. ∙

research

∙ 03/10/2023

You Only Train Once: Multi-Identity Free-Viewpoint Neural Human Rendering from Monocular Videos

We introduce You Only Train Once (YOTO), a dynamic human generation fram...

3 Jaehyeok Kim, et al. ∙

research

∙ 10/26/2022

LP-BFGS attack: An adversarial attack based on the Hessian with limited pixels

Deep neural networks are vulnerable to adversarial attacks. Most white-b...

5 Jiebao Zhang, et al. ∙

research

∙ 09/20/2022

DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection

Open-world object detection, as a more general and challenging goal, aim...

7 Lewei Yao, et al. ∙

research

∙ 07/13/2022

Lipschitz Continuity Retained Binary Neural Network

Relying on the premise that the performance of a binary neural network c...

11 Yuzhang Shang, et al. ∙

research

∙ 07/12/2022

Exploring Adversarial Examples and Adversarial Robustness of Convolutional Neural Networks by Mutual Information

A counter-intuitive property of convolutional neural networks (CNNs) is ...

10 Jiebao Zhang, et al. ∙

research

∙ 07/06/2022

Network Binarization via Contrastive Learning

Neural network binarization accelerates deep models by quantizing their ...

12 Yuzhang Shang, et al. ∙

research

∙ 03/26/2022

Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation

A fundamental and challenging problem in deep learning is catastrophic f...

17 Guanglei Yang, et al. ∙

research

∙ 03/20/2022

An Adaptive and Scalable ANN-based Model-Order-Reduction Method for Large-Scale TO Designs

Topology Optimization (TO) provides a systematic approach for obtaining ...

3 Ren Kai Tan, et al. ∙

research

∙ 03/15/2022

Inverted Pyramid Multi-task Transformer for Dense Scene Understanding

Multi-task dense scene understanding is a thriving research domain that ...

2 Hanrong Ye, et al. ∙

research

∙ 03/13/2022

Depth-Aware Generative Adversarial Network for Talking Head Video Generation

Talking head video generation aims to produce a synthetic human face vid...

27 Fa-Ting Hong, et al. ∙

research

∙ 03/06/2022

Multi-class Token Transformer for Weakly Supervised Semantic Segmentation

This paper proposes a new transformer-based framework to learn class-spe...

3 Lian Xu, et al. ∙

research

∙ 02/01/2022

Continual Attentive Fusion for Incremental Learning in Semantic Segmentation

Over the past years, semantic segmentation, as many other tasks in compu...

26 Guanglei Yang, et al. ∙

research

∙ 12/04/2021

Generalized Binary Search Network for Highly-Efficient Multi-View Stereo

Multi-view Stereo (MVS) with known camera parameters is essentially a 1D...

5 Zhenxing Mi, et al. ∙

research

∙ 08/06/2021

Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation

Existing domain adaptation methods for crowd counting view each crowd im...

5 Yongtuo Liu, et al. ∙

research

∙ 08/06/2021

Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting

Labeling is onerous for crowd counting as it should annotate each indivi...

6 Yongtuo Liu, et al. ∙

research

∙ 07/29/2021

Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection

As a crucial task of autonomous driving, 3D object detection has made gr...

11 Yinmin Zhang, et al. ∙

research

∙ 07/27/2021

Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization

Weakly supervised temporal action localization (WS-TAL) is a challenging...

0 Fa-Ting Hong, et al. ∙

research

∙ 05/08/2021

Sign-Agnostic CONet: Learning Implicit Surface Reconstructions by Sign-Agnostic Optimization of Convolutional Occupancy Networks

Surface reconstruction from point clouds is a fundamental problem in the...

3 Jiapeng Tang, et al. ∙

research

∙ 05/05/2021

Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes

We propose a method to train deep networks to decompose videos into 3D g...

11 Dan Xu, et al. ∙

research

∙ 03/30/2021

Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction

This paper focuses on the task of 4D shape reconstruction from a sequenc...

11 Jiapeng Tang, et al. ∙

research

∙ 03/30/2021

Delving into Localization Errors for Monocular 3D Object Detection

Estimating 3D bounding boxes from monocular images is an essential compo...

21 Xinzhu Ma, et al. ∙

research

∙ 03/05/2021

Variational Structured Attention Networks for Deep Visual Representation Learning

Convolutional neural networks have enabled major progress in addressing ...

9 Guanglei Yang, et al. ∙

research

∙ 02/10/2021

NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting

Although Transformer has made breakthrough success in widespread domains...

20 Kai Chen, et al. ∙

research

∙ 01/08/2021

Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction

Multi-scale representations deeply learned via convolutional neural netw...

17 Dan Xu, et al. ∙

research

∙ 11/16/2020

LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection

Online action detection is a task with the aim of identifying ongoing ac...

4 Sanqing Qu, et al. ∙

research

∙ 05/11/2020

Scope Head for Accurate Localizationin Object Detection

Existing anchor-based and anchor-free object detectors in multi-stage or...

6 Geng Zhan, et al. ∙

research

∙ 05/11/2020

Scope Head for Accurate Localization in Object Detection

Existing anchor-based and anchor-free object detectors in multi-stage or...

0 Geng Zhan, et al. ∙

research

∙ 03/31/2020

Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis

We propose a novel Edge guided Generative Adversarial Network (EdgeGAN) ...

28 Hao Tang, et al. ∙

research

∙ 02/03/2020

Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation

We propose a novel model named Multi-Channel Attention Selection Generat...

10 Hao Tang, et al. ∙

research

∙ 02/02/2020

A Simple Prediction Model for the Development Trend of 2019-nCov Epidemics Based on Medical Observations

In order to predict the development trend of the 2019 coronavirus (2019-...

0 Ye Liang, et al. ∙

research

∙ 12/27/2019

Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

In this paper, we address the task of semantic-guided scene generation. ...

8 Hao Tang, et al. ∙

research

∙ 12/14/2019

Asymmetric Generative Adversarial Networks for Image-to-Image Translation

State-of-the-art models for unpaired image-to-image translation with Gen...

28 Hao Tang, et al. ∙

research

∙ 11/27/2019

AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks

State-of-the-art methods in the unpaired image-to-image translation are ...

52 Hao Tang, et al. ∙

research

∙ 09/17/2019

Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks

Recent deep monocular depth estimation approaches based on supervised re...

12 Andrea Pilzer, et al. ∙

research

∙ 09/10/2019

Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection

Recent saliency models extensively explore to incorporate multi-scale co...

9 Yingyue Xu, et al. ∙

research

∙ 09/06/2019

Geometry-Aware Video Object Detection for Static Cameras

In this paper we propose a geometry-aware model for video object detecti...

34 Dan Xu, et al. ∙

research

∙ 08/19/2019

Dynamic Graph Message Passing Networks

Modelling long-range dependencies is critical for complex scene understa...

1 Li Zhang, et al. ∙

research

∙ 08/15/2019

Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation

Inspired by the success of adversarial learning, we propose a new end-to...

4 Mihai Marian Puscas, et al. ∙

research

∙ 08/02/2019

Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation

In this work, we propose a novel Cycle In Cycle Generative Adversarial N...

6 Hao Tang, et al. ∙

research

∙ 05/14/2019

Expression Conditional GAN for Facial Expression-to-Expression Translation

In this paper, we focus on the facial expression translation task and pr...

0 Hao Tang, et al. ∙

research

∙ 04/15/2019

Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Cross-view image translation is challenging because it involves images w...

36 Hao Tang, et al. ∙

Dan Xu

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