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08/15/2023
Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training
Exemplar-based sketch-to-photo synthesis allows users to generate photo-...
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08/01/2023
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems
The Traveling Salesman Problem (TSP) is a well-known problem in combinat...
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07/26/2023
VideoControlNet: A Motion-Guided Video-to-Video Translation Framework by Using Diffusion Model with ControlNet
Recently, diffusion models like StableDiffusion have achieved impressive...
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06/18/2023
Bid Optimization for Offsite Display Ad Campaigns on eCommerce
Online retailers often use third-party demand-side-platforms (DSPs) to c...
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04/04/2023
Q2ATransformer: Improving Medical VQA via an Answer Querying Decoder
Medical Visual Question Answering (VQA) systems play a supporting role t...
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03/25/2023
VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud
The task of 3D semantic scene graph (3DSSG) prediction in the point clou...
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03/21/2023
Large AI Models in Health Informatics: Applications, Challenges, and the Future
Large AI models, or foundation models, are models recently emerging with...
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03/02/2023
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation
Semi-supervised semantic segmentation has recently gained increasing res...
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02/23/2023
Bridging Synthetic and Real Images: a Transferable and Multiple Consistency aided Fundus Image Enhancement Framework
Deep learning based image enhancement models have largely improved the r...
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02/19/2023
Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory Systems
Multi-tiered large memory systems call for rethinking of memory profilin...
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12/20/2022
Content Adaptive Latents and Decoder for Neural Image Compression
In recent years, neural image compression (NIC) algorithms have shown po...
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11/21/2022
Slow Motion Matters: A Slow Motion Enhanced Network for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization (WTAL) aims to localize a...
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08/14/2022
SketchSampler: Sketch-based 3D Reconstruction via View-dependent Depth Sampling
Reconstructing a 3D shape based on a single sketch image is challenging ...
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06/15/2022
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction
The previous deep video compression approaches only use the single scale...
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06/14/2021
NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning
In this paper, a novel second-order method called NG+ is proposed. By fo...
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05/26/2021
CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression using a Single Network
In this paper, we propose a new deep image compression framework called ...
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05/20/2021
FVC: A New Framework towards Deep Video Compression in Feature Space
Learning based video compression attracts increasing attention in the pa...
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05/05/2021
VoxelContext-Net: An Octree based Framework for Point Cloud Compression
In this paper, we propose a two-stage deep learning framework called Vox...
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04/13/2021
Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds
3D object detection in point clouds is a challenging vision task that be...
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03/26/2021
VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation
Domain adaptation aims to leverage a label-rich domain (the source domai...
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01/19/2021
Salient Object Detection via Integrity Learning
Albeit current salient object detection (SOD) works have achieved fantas...
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12/25/2020
Inception Convolution with Efficient Dilation Search
Dilation convolution is a critical mutant of standard convolution neural...
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11/10/2020
Human-centric Spatio-Temporal Video Grounding With Visual Transformers
In this work, we introduce a novel task - Humancentric Spatio-Temporal V...
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11/07/2020
Deep Learning Analysis and Age Prediction from Shoeprints
Human walking and gaits involve several complex body parts and are influ...
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10/27/2020
A Method of Generating Measurable Panoramic Image for Indoor Mobile Measurement System
This paper designs a technique route to generate high-quality panoramic ...
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10/27/2020
A Simple and Efficient Registration of 3D Point Cloud and Image Data for Indoor Mobile Mapping System
Registration of 3D LiDAR point clouds with optical images is critical in...
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09/20/2020
A Hybrid Simulation-based Duopoly Game Framework for Analysis of Supply Chain and Marketing Activities
A hybrid simulation-based framework involving system dynamics and agent-...
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09/19/2020
Dynamic Scheduling and Workforce Assignment in Open Source Software Development
A novel modeling framework is proposed for dynamic scheduling of project...
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09/13/2020
Improving Deep Video Compression by Resolution-adaptive Flow Coding
In the learning based video compression approaches, it is an essential i...
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06/17/2020
Structured Stochastic Quasi-Newton Methods for Large-Scale Optimization Problems
In this paper, we consider large-scale finite-sum nonconvex problems ari...
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06/10/2020
Sketchy Empirical Natural Gradient Methods for Deep Learning
In this paper, we develop an efficient sketchy empirical natural gradien...
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03/25/2020
Content Adaptive and Error Propagation Aware Deep Video Compression
Recently, learning based video compression methods attract increasing at...
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03/15/2020
Channel Pruning Guided by Classification Loss and Feature Importance
In this work, we propose a new layer-by-layer channel pruning method cal...
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02/09/2020
A Unified End-to-End Framework for Efficient Deep Image Compression
Image compression is a widely used technique to reduce the spatial redun...
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10/02/2019
Formal Language Constraints for Markov Decision Processes
In order to satisfy safety conditions, a reinforcement learned (RL) agen...
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09/21/2019
IntersectGAN: Learning Domain Intersection for Generating Images with Multiple Attributes
Generative adversarial networks (GANs) have demonstrated great success i...
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08/06/2019
Refactoring Neural Networks for Verification
Deep neural networks (DNN) are growing in capability and applicability. ...
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07/26/2019
Detection of Malfunctioning Smart Electricity Meter
In this paper, a method for malfunctioning smart meter detection, based ...
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05/28/2019
Improving Action Localization by Progressive Cross-stream Cooperation
Spatio-temporal action localization consists of three levels of tasks: s...
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05/26/2019
Gated Group Self-Attention for Answer Selection
Answer selection (answer ranking) is one of the key steps in many kinds ...
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05/26/2019
Hashing based Answer Selection
Answer selection is an important subtask of question answering (QA), whe...
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11/30/2018
DVC: An End-to-end Deep Video Compression Framework
Conventional video compression approaches use the predictive coding arch...
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09/12/2017
MUFold-SS: Protein Secondary Structure Prediction Using Deep Inception-Inside-Inception Networks
Motivation: Protein secondary structure prediction can provide important...
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07/19/2017
Image Projective Invariants
In this paper, we propose relative projective differential invariants (R...
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06/26/2017
Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates
Skeleton-based human action recognition has attracted a lot of research ...
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03/07/2017
Shape DNA: Basic Generating Functions for Geometric Moment Invariants
Geometric moment invariants (GMIs) have been widely used as basic tool i...
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11/22/2016
Learning Multi-level Deep Representations for Image Emotion Classification
In this paper, we propose a new deep network that learns multi-level dee...
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07/28/2016
A Siamese Long Short-Term Memory Architecture for Human Re-Identification
Matching pedestrians across multiple camera views known as human re-iden...
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07/24/2016
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
3D action recognition - analysis of human actions based on 3D skeleton d...
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06/19/2016