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08/20/2023
Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video
Despite significant progress in single image-based 3D human mesh recover...
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08/18/2023
Multi-scale Target-Aware Framework for Constrained Image Splicing Detection and Localization
Constrained image splicing detection and localization (CISDL) is a funda...
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08/08/2023
Image Copy-Move Forgery Detection via Deep Cross-Scale PatchMatch
The recently developed deep algorithms achieve promising progress in the...
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08/07/2023
Energy-Guided Diffusion Model for CBCT-to-CT Synthesis
Cone Beam CT (CBCT) plays a crucial role in Adaptive Radiation Therapy (...
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07/27/2023
A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos
Identifying traffic accidents in driving videos is crucial to ensuring t...
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06/14/2023
Explore In-Context Learning for 3D Point Cloud Understanding
With the rise of large-scale models trained on broad data, in-context le...
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04/27/2023
Interweaved Graph and Attention Network for 3D Human Pose Estimation
Despite substantial progress in 3D human pose estimation from a single-v...
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03/20/2023
Revisiting Transformer for Point Cloud-based 3D Scene Graph Generation
In this paper, we propose the semantic graph Transformer (SGT) for the 3...
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03/17/2023
Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding
Predicting attention regions of interest is an important yet challenging...
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03/10/2023
GATOR: Graph-Aware Transformer with Motion-Disentangled Regression for Human Mesh Recovery from a 2D Pose
3D human mesh recovery from a 2D pose plays an important role in various...
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01/02/2023
Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation
In this work, we focus on instance-level open vocabulary segmentation, i...
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11/21/2022
STGlow: A Flow-based Generative Framework with Dual Graphormer for Pedestrian Trajectory Prediction
Pedestrian trajectory prediction task is an essential component of intel...
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09/20/2022
Towards Robust Referring Image Segmentation
Referring Image Segmentation (RIS) aims to connect image and language vi...
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07/02/2022
Software Engineering Process and Methodology in Blockchain-Oriented Software Development: A Systematic Study
Software Engineering is the process of a systematic, disciplined, quanti...
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02/28/2022
Distributed randomized Kaczmarz for the adversarial workers
Developing large-scale distributed methods that are robust to the presen...
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11/26/2021
Mask Transfiner for High-Quality Instance Segmentation
Two-stage and query-based instance segmentation methods have achieved re...
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11/09/2021
Deep Convolution Network Based Emotion Analysis for Automatic Detection of Mild Cognitive Impairment in the Elderly
A significant number of people are suffering from cognitive impairment a...
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09/09/2021
Is Attention Better Than Matrix Decomposition?
As an essential ingredient of modern deep learning, attention mechanism,...
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07/22/2021
Binary irreducible quasi-cyclic parity-check subcodes of Goppa codes and extended Goppa codes
Goppa codes are particularly appealing for cryptographic applications. E...
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06/22/2021
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
Multiple object tracking and segmentation requires detecting, tracking, ...
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05/27/2021
Optimization Induced Equilibrium Networks
Implicit equilibrium models, i.e., deep neural networks (DNNs) defined b...
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04/09/2021
Self-Boosted Automated Program Repair
Program repair is an integral part of every software system's life-cycle...
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03/11/2021
PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation
Aerial Image Segmentation is a particular semantic segmentation problem ...
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12/03/2020
Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision
Predicting human motion behavior in a crowd is important for many applic...
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11/24/2020
Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction
We present a preliminary study of a knowledge graph created from season ...
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11/06/2020
Towards Efficient Scene Understanding via Squeeze Reasoning
Graph-based convolutional model such as non-local block has shown to be ...
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09/14/2020
MDS or NMDS self-dual codes from twisted generalized Reed-Solomon codes
Self-dual maximum distance separable codes (self-dual MDS codes) and sel...
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09/07/2020
COVID-19 Literature Topic-Based Search via Hierarchical NMF
A dataset of COVID-19-related scientific literature is compiled, combini...
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07/20/2020
Improving Semantic Segmentation via Decoupled Body and Edge Supervision
Existing semantic segmentation approaches either aim to improve the obje...
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06/01/2020
Bi-directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification
RGB-Infrared person re-identification (RGB-IR ReID) is a cross-modality ...
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03/23/2020
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation
The convolution operation suffers from a limited receptive filed, while ...
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11/23/2019
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families
The correspondence between residual networks and dynamical systems motiv...
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11/18/2019
On the Hamming distances of repeated-root cyclic codes of length 5p^s
Due to the wide applications in consumer electronics, data storage syste...
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11/18/2019
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
The panoptic segmentation task requires a unified result from semantic a...
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11/16/2019
Quality Assessment of DIBR-synthesized views: An Overview
The Depth-Image-Based-Rendering (DIBR) is one of the main fundamental te...
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10/03/2019
Can Automated Program Repair Refine Fault Localization?
Software bugs are prevalent in modern software systems and notoriously h...
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07/31/2019
Expectation-Maximization Attention Networks for Semantic Segmentation
Self-attention mechanism has been widely used for various tasks. It is d...
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06/03/2019
Masked Non-Autoregressive Image Captioning
Existing captioning models often adopt the encoder-decoder architecture,...
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01/16/2019
Primitive-based 3D Building Modeling, Sensor Simulation, and Estimation
As we begin to consider modeling large, realistic 3D building scenes, it...
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07/16/2018
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining
Rain streaks can severely degrade the visibility, which causes many curr...
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06/11/2018
Compression of phase-only holograms with JPEG standard and deep learning
It is a critical issue to reduce the enormous amount of data in the proc...
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04/16/2018
Review on Optical Image Hiding and Watermarking Techniques
Information security is a critical issue in modern society and image wat...
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08/04/2017
Sensing Urban Land-Use Patterns By Integrating Google Tensorflow And Scene-Classification Models
With the rapid progress of China's urbanization, research on the automat...
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08/02/2017
Kernalised Multi-resolution Convnet for Visual Tracking
Visual tracking is intrinsically a temporal problem. Discriminative Corr...
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11/17/2009
Apply Ant Colony Algorithm to Search All Extreme Points of Function
To find all extreme points of multimodal functions is called extremum pr...
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07/06/2009