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07/18/2023
Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion
User post-click conversion prediction is of high interest to researchers...
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04/30/2023
Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation
Recently, transformers have shown strong ability as visual feature extra...
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04/14/2023
CollabCoder: A GPT-Powered Workflow for Collaborative Qualitative Analysis
The Collaborative Qualitative Analysis (CQA) process can be time-consumi...
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03/23/2023
Box-Level Active Detection
Active learning selects informative samples for annotation within budget...
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02/04/2023
X-ReID: Cross-Instance Transformer for Identity-Level Person Re-Identification
Currently, most existing person re-identification methods use Instance-L...
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01/16/2023
DarkVision: A Benchmark for Low-light Image/Video Perception
Imaging and perception in photon-limited scenarios is necessary for vari...
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11/03/2022
Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection
The ground plane prior is a very informative geometry clue in monocular ...
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08/15/2022
Automatic Landmark Detection and Registration of Brain Cortical Surfaces via Quasi-Conformal Geometry and Convolutional Neural Networks
In medical imaging, surface registration is extensively used for perform...
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07/27/2022
JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System
A combinatorial recommender (CR) system feeds a list of items to a user ...
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05/06/2022
A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from Datasets
Supervised person re-identification methods rely heavily on high-quality...
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04/18/2022
MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning
Binary pointwise labels (aka implicit feedback) are heavily leveraged by...
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04/02/2022
A Free Lunch to Person Re-identification: Learning from Automatically Generated Noisy Tracklets
A series of unsupervised video-based re-identification (re-ID) methods h...
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12/28/2021
TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification
Nowadays, real data in person re-identification (ReID) task is facing pr...
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09/19/2021
LODE: Deep Local Deblurring and A New Benchmark
While recent deep deblurring algorithms have achieved remarkable progres...
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07/30/2021
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN
The existence of redundancy in Convolutional Neural Networks (CNNs) enab...
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06/15/2021
Zero-shot Node Classification with Decomposed Graph Prototype Network
Node classification is a central task in graph data analysis. Scarce or ...
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07/07/2020
Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization
Channel pruning (a.k.a. filter pruning) aims to slim down a convolutiona...
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03/10/2020
PANDA: A Gigapixel-level Human-centric Video Dataset
We present PANDA, the first gigaPixel-level humAN-centric viDeo dAtaset,...
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12/01/2019
Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization
We propose a novel model for a topic-aware chatbot by combining the trad...
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09/27/2019
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
Deep Neural Network (DNN) is powerful but computationally expensive and ...
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09/10/2019
The Prevalence of Errors in Machine Learning Experiments
Context: Conducting experiments is central to research machine learning ...
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08/11/2019
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
As designing appropriate Convolutional Neural Network (CNN) architecture...
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07/28/2019
A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction
Background: Unsupervised machine learners have been increasingly applied...
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05/12/2019
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization
It is not easy to design and run Convolutional Neural Networks (CNNs) du...
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04/08/2019