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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...
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08/05/2023
Learning Unified Decompositional and Compositional NeRF for Editable Novel View Synthesis
Implicit neural representations have shown powerful capacity in modeling...
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07/28/2023
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts
Learning discriminative task-specific features simultaneously for multip...
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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...
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07/16/2023
Contrastive Multi-Task Dense Prediction
This paper targets the problem of multi-task dense prediction which aims...
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06/08/2023
InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding
Multi-task scene understanding aims to design models that can simultaneo...
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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...
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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...
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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...
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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...
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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...
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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...
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07/13/2022
Lipschitz Continuity Retained Binary Neural Network
Relying on the premise that the performance of a binary neural network c...
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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 ...
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07/06/2022
Network Binarization via Contrastive Learning
Neural network binarization accelerates deep models by quantizing their ...
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03/26/2022
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation
A fundamental and challenging problem in deep learning is catastrophic f...
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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 ...
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03/15/2022
Inverted Pyramid Multi-task Transformer for Dense Scene Understanding
Multi-task dense scene understanding is a thriving research domain that ...
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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...
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03/06/2022
Multi-class Token Transformer for Weakly Supervised Semantic Segmentation
This paper proposes a new transformer-based framework to learn class-spe...
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02/01/2022
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation
Over the past years, semantic segmentation, as many other tasks in compu...
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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...
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08/06/2021
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation
Existing domain adaptation methods for crowd counting view each crowd im...
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08/06/2021
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting
Labeling is onerous for crowd counting as it should annotate each indivi...
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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...
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07/27/2021
Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization (WS-TAL) is a challenging...
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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...
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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...
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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...
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03/30/2021
Delving into Localization Errors for Monocular 3D Object Detection
Estimating 3D bounding boxes from monocular images is an essential compo...
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03/05/2021
Variational Structured Attention Networks for Deep Visual Representation Learning
Convolutional neural networks have enabled major progress in addressing ...
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02/10/2021
NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting
Although Transformer has made breakthrough success in widespread domains...
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01/08/2021
Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction
Multi-scale representations deeply learned via convolutional neural netw...
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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...
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05/11/2020
Scope Head for Accurate Localizationin Object Detection
Existing anchor-based and anchor-free object detectors in multi-stage or...
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05/11/2020
Scope Head for Accurate Localization in Object Detection
Existing anchor-based and anchor-free object detectors in multi-stage or...
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03/31/2020
Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis
We propose a novel Edge guided Generative Adversarial Network (EdgeGAN) ...
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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...
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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-...
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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. ...
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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...
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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 ...
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09/17/2019
Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks
Recent deep monocular depth estimation approaches based on supervised re...
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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...
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09/06/2019
Geometry-Aware Video Object Detection for Static Cameras
In this paper we propose a geometry-aware model for video object detecti...
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08/19/2019
Dynamic Graph Message Passing Networks
Modelling long-range dependencies is critical for complex scene understa...
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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...
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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...
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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...
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04/15/2019
