b'Tianfu Wu'

research

∙ 08/06/2023

CGBA: Curvature-aware Geometric Black-box Attack

Decision-based black-box attacks often necessitate a large number of que...

0 Md Farhamdur Reza, et al. ∙

research

∙ 07/14/2023

Volumetric Wireframe Parsing from Neural Attraction Fields

The primal sketch is a fundamental representation in Marr's vision theor...

0 Nan Xue, et al. ∙

research

∙ 04/17/2023

Implicit Bayes Adaptation: A Collaborative Transport Approach

The power and flexibility of Optimal Transport (OT) have pervaded a wide...

0 Bo Jiang, et al. ∙

research

∙ 04/03/2023

Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver

The main challenge of monocular 3D object detection is the accurate loca...

0 Xianpeng Liu, et al. ∙

research

∙ 03/14/2023

Learning to Grow Artificial Hippocampi in Vision Transformers for Resilient Lifelong Learning

Lifelong learning without catastrophic forgetting (i.e., resiliency) pos...

0 Chinmay Savadikar, et al. ∙

research

∙ 11/30/2022

NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction

This paper studies the challenging two-view 3D reconstruction in a rigor...

0 Bin Tan, et al. ∙

research

∙ 11/22/2022

Level-S^2fM: Structure from Motion on Neural Level Set of Implicit Surfaces

This paper presents a neural incremental Structure-from-Motion (SfM) app...

0 Yuxi Xiao, et al. ∙

research

∙ 10/24/2022

Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning

This paper presents Holistically-Attracted Wireframe Parsing (HAWP) for ...

0 Nan Xue, et al. ∙

research

∙ 08/15/2022

HoW-3D: Holistic 3D Wireframe Perception from a Single Image

This paper studies the problem of holistic 3D wireframe perception (HoW-...

6 Wenchao Ma, et al. ∙

research

∙ 03/22/2022

Learning Patch-to-Cluster Attention in Vision Transformer

The Vision Transformer (ViT) model is built on the assumption of treatin...

1 Ryan Grainger, et al. ∙

research

∙ 02/25/2022

Refining Self-Supervised Learning in Imaging: Beyond Linear Metric

We introduce in this paper a new statistical perspective, exploiting the...

13 Bo Jiang, et al. ∙

research

∙ 12/29/2021

Learning Inception Attention for Image Synthesis and Image Recognition

Image synthesis and image recognition have witnessed remarkable progress...

10 Jianghao Shen, et al. ∙

research

∙ 12/09/2021

Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection

Monocular 3D object detection aims to localize 3D bounding boxes in an i...

4 Xianpeng Liu, et al. ∙

research

∙ 09/08/2021

Learning Local-Global Contextual Adaptation for Fully End-to-End Bottom-Up Human Pose Estimation

This paper presents a method of learning Local-GlObal Contextual Adaptat...

10 Nan Xue, et al. ∙

research

∙ 07/31/2021

Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones

Stereo matching has recently witnessed remarkable progress using Deep Ne...

4 Kelvin Cheng, et al. ∙

research

∙ 07/27/2021

PlaneTR: Structure-Guided Transformers for 3D Plane Recovery

This paper presents a neural network built upon Transformers, namely Pla...

2 Bin Tan, et al. ∙

research

∙ 03/15/2021

Deep Consensus Learning

Both generative learning and discriminative learning have recently witne...

9 Wei Sun, et al. ∙

research

∙ 04/20/2020

Local Clustering with Mean Teacher for Semi-supervised Learning

The Mean Teacher (MT) model of Tarvainen and Valpola has shown favorable...

11 Zexi Chen, et al. ∙

research

∙ 03/25/2020

Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis

With the remarkable recent progress on learning deep generative models, ...

11 Wei Sun, et al. ∙

research

∙ 03/03/2020

Holistically-Attracted Wireframe Parsing

This paper presents a fast and parsimonious parsing method to accurately...

4 Nan Xue, et al. ∙

research

∙ 02/25/2020

Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees

Federated learning (FL) has emerged as a prominent distributed learning ...

17 Richeng Jin, et al. ∙

research

∙ 12/18/2019

Learning Regional Attraction for Line Segment Detection

This paper presents regional attraction of line segment maps, and hereby...

9 Nan Xue, et al. ∙

research

∙ 09/10/2019

Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks

This paper proposes interpretable image synthesis by learning hierarchic...

18 Xianglei Xing, et al. ∙

research

∙ 08/20/2019

Image Synthesis From Reconfigurable Layout and Style

Despite remarkable recent progress on both unconditional and conditional...

5 Wei Sun, et al. ∙

research

∙ 08/04/2019

Attentive Normalization

Batch Normalization (BN) is a vital pillar in the development of deep le...

0 Xilai Li, et al. ∙

research

∙ 06/17/2019

Pose Guided Fashion Image Synthesis Using Deep Generative Model

Generating a photorealistic image with intended human pose is a promisin...

14 Wei Sun, et al. ∙

research

∙ 05/25/2019

Adversarial Distillation for Ordered Top-k Attacks

Deep Neural Networks (DNNs) are vulnerable to adversarial attacks, espec...

1 Zekun Zhang, et al. ∙

research

∙ 03/31/2019

Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting

Addressing catastrophic forgetting is one of the key challenges in conti...

6 Xilai Li, et al. ∙

research

∙ 01/24/2019

Real-time Scene Segmentation Using a Light Deep Neural Network Architecture for Autonomous Robot Navigation on Construction Sites

Camera-equipped unmanned vehicles (UVs) have received a lot of attention...

0 Khashayar Asadi, et al. ∙

research

∙ 01/18/2019

Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation

Image synthesis and image-to-image translation are two important generat...

8 Wei Sun, et al. ∙

research

∙ 12/08/2018

Neural Abstract Style Transfer for Chinese Traditional Painting

Chinese traditional painting is one of the most historical artworks in t...

0 Bo Li, et al. ∙

research

∙ 12/05/2018

Learning Attraction Field Representation for Robust Line Segment Detection

This paper presents a region-partition based attraction field dual repre...

12 Nan Xue, et al. ∙

research

∙ 11/16/2018

Relational Long Short-Term Memory for Video Action Recognition

Spatial and temporal relationships, both short-range and long-range, bet...

0 Zexi Chen, et al. ∙

research

∙ 09/06/2018

ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay

Experience replay is an important technique for addressing sample-ineffi...

6 Sameera Lanka, et al. ∙

research

∙ 07/08/2018

Auto-Context R-CNN

Region-based convolutional neural networks (R-CNN) fast_rcnn,faster_rcnn...

2 Bo Li, et al. ∙

research

∙ 03/05/2018

Building an Integrated Mobile Robotic System for Real-Time Applications in Construction

One of the major challenges of a real-time autonomous robotic system for...

0 Khashayar Asadi, et al. ∙

research

∙ 01/23/2018

High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks

We present a deep learning approach for high resolution face completion ...

0 Zeyuan Chen, et al. ∙

research

∙ 11/15/2017

AOGNets: Deep AND-OR Grammar Networks for Visual Recognition

This paper presents a method of learning deep AND-OR Grammar (AOG) netwo...

0 Xilai Li, et al. ∙

research

∙ 11/14/2017

Interpretable R-CNN

This paper presents a method of learning qualitatively interpretable mod...

0 Tianfu Wu, et al. ∙

research

∙ 09/16/2017

Scene-centric Joint Parsing of Cross-view Videos

Cross-view video understanding is an important yet under-explored area i...

0 Hang Qi, et al. ∙

research

∙ 12/12/2016

An Attention-Driven Approach of No-Reference Image Quality Assessment

In this paper, we present a novel method of no-reference image quality a...

0 Diqi Chen, et al. ∙

research

∙ 12/02/2016

Zero-Shot Learning posed as a Missing Data Problem

This paper presents a method of zero-shot learning (ZSL) which poses ZSL...

0 Bo Zhao, et al. ∙

research

∙ 12/02/2016

Object Detection via Aspect Ratio and Context Aware Region-based Convolutional Networks

Jointly integrating aspect ratio and context has been extensively studie...

0 Bo Li, et al. ∙

research

∙ 06/02/2016

Face Detection with End-to-End Integration of a ConvNet and a 3D Model

This paper presents a method for face detection in the wild, which integ...

0 Yunzhu Li, et al. ∙

research

∙ 03/26/2016

Recognizing Car Fluents from Video

Physical fluents, a term originally used by Newton [40], refers to time-...

0 Bo Li, et al. ∙

research

∙ 12/06/2015

A Restricted Visual Turing Test for Deep Scene and Event Understanding

This paper presents a restricted visual Turing test (VTT) for story-line...

0 Hang Qi, et al. ∙

research

∙ 01/29/2015

Learning And-Or Models to Represent Context and Occlusion for Car Detection and Viewpoint Estimation

This paper presents a method for learning And-Or models to represent con...

0 Tianfu Wu, et al. ∙

research

∙ 05/02/2013

Learning Mixtures of Bernoulli Templates by Two-Round EM with Performance Guarantee

Dasgupta and Shulman showed that a two-round variant of the EM algorithm...

0 Adrian Barbu, et al. ∙

Tianfu Wu

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