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08/06/2023
CGBA: Curvature-aware Geometric Black-box Attack
Decision-based black-box attacks often necessitate a large number of que...
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07/14/2023
Volumetric Wireframe Parsing from Neural Attraction Fields
The primal sketch is a fundamental representation in Marr's vision theor...
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04/17/2023
Implicit Bayes Adaptation: A Collaborative Transport Approach
The power and flexibility of Optimal Transport (OT) have pervaded a wide...
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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...
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03/14/2023
Learning to Grow Artificial Hippocampi in Vision Transformers for Resilient Lifelong Learning
Lifelong learning without catastrophic forgetting (i.e., resiliency) pos...
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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...
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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...
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10/24/2022
Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning
This paper presents Holistically-Attracted Wireframe Parsing (HAWP) for ...
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08/15/2022
HoW-3D: Holistic 3D Wireframe Perception from a Single Image
This paper studies the problem of holistic 3D wireframe perception (HoW-...
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03/22/2022
Learning Patch-to-Cluster Attention in Vision Transformer
The Vision Transformer (ViT) model is built on the assumption of treatin...
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02/25/2022
Refining Self-Supervised Learning in Imaging: Beyond Linear Metric
We introduce in this paper a new statistical perspective, exploiting the...
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12/29/2021
Learning Inception Attention for Image Synthesis and Image Recognition
Image synthesis and image recognition have witnessed remarkable progress...
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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...
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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...
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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...
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07/27/2021
PlaneTR: Structure-Guided Transformers for 3D Plane Recovery
This paper presents a neural network built upon Transformers, namely Pla...
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03/15/2021
Deep Consensus Learning
Both generative learning and discriminative learning have recently witne...
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04/20/2020
Local Clustering with Mean Teacher for Semi-supervised Learning
The Mean Teacher (MT) model of Tarvainen and Valpola has shown favorable...
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03/25/2020
Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis
With the remarkable recent progress on learning deep generative models, ...
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03/03/2020
Holistically-Attracted Wireframe Parsing
This paper presents a fast and parsimonious parsing method to accurately...
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02/25/2020
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
Federated learning (FL) has emerged as a prominent distributed learning ...
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12/18/2019
Learning Regional Attraction for Line Segment Detection
This paper presents regional attraction of line segment maps, and hereby...
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09/10/2019
Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks
This paper proposes interpretable image synthesis by learning hierarchic...
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08/20/2019
Image Synthesis From Reconfigurable Layout and Style
Despite remarkable recent progress on both unconditional and conditional...
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08/04/2019
Attentive Normalization
Batch Normalization (BN) is a vital pillar in the development of deep le...
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06/17/2019
Pose Guided Fashion Image Synthesis Using Deep Generative Model
Generating a photorealistic image with intended human pose is a promisin...
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05/25/2019
Adversarial Distillation for Ordered Top-k Attacks
Deep Neural Networks (DNNs) are vulnerable to adversarial attacks, espec...
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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...
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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...
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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...
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12/08/2018
Neural Abstract Style Transfer for Chinese Traditional Painting
Chinese traditional painting is one of the most historical artworks in t...
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12/05/2018
Learning Attraction Field Representation for Robust Line Segment Detection
This paper presents a region-partition based attraction field dual repre...
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11/16/2018
Relational Long Short-Term Memory for Video Action Recognition
Spatial and temporal relationships, both short-range and long-range, bet...
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09/06/2018
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay
Experience replay is an important technique for addressing sample-ineffi...
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07/08/2018
Auto-Context R-CNN
Region-based convolutional neural networks (R-CNN) fast_rcnn,faster_rcnn...
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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...
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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 ...
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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...
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11/14/2017
Interpretable R-CNN
This paper presents a method of learning qualitatively interpretable mod...
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09/16/2017
Scene-centric Joint Parsing of Cross-view Videos
Cross-view video understanding is an important yet under-explored area i...
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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...
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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...
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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...
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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...
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03/26/2016
Recognizing Car Fluents from Video
Physical fluents, a term originally used by Newton [40], refers to time-...
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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...
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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...
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05/02/2013