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05/02/2022
Cost-Aware Evaluation and Model Scaling for LiDAR-Based 3D Object Detection
Considerable research efforts have been devoted to LiDAR-based 3D object...
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02/25/2022
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains
Multi-task Gaussian process (MTGP) is a well-known non-parametric Bayesi...
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09/20/2021
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization
Multi-task regression attempts to exploit the task similarity in order t...
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06/03/2021
Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems
The demand of probabilistic time series forecasting has been recently ra...
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05/13/2021
Neighborhood-Aware Neural Architecture Search
Existing neural architecture search (NAS) methods often return an archit...
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03/07/2021
Efficient Model Performance Estimation via Feature Histories
An important step in the task of neural network design, such as hyper-pa...
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12/03/2020
Multiple Networks are More Efficient than One: Fast and Accurate Models via Ensembles and Cascades
Recent work on efficient neural network architectures focuses on discove...
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08/29/2020
Modulating Scalable Gaussian Processes for Expressive Statistical Learning
For a learning task, Gaussian process (GP) is interested in learning the...
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07/23/2020
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification
Convolutional operations have two limitations: (1) do not explicitly mod...
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05/18/2020
Deep Latent-Variable Kernel Learning
Deep kernel learning (DKL) leverages the connection between Gaussian pro...
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04/02/2019
Point in, Box out: Beyond Counting Persons in Crowds
Modern crowd counting methods usually employ deep neural networks (DNN) ...
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02/01/2019
Learnable Embedding Space for Efficient Neural Architecture Compression
We propose a method to incrementally learn an embedding space over the d...
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09/26/2018
Developmental Bayesian Optimization of Black-Box with Visual Similarity-Based Transfer Learning
We present a developmental framework based on a long-term memory and rea...
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09/17/2018
Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy Images of Human Cervical Tissue
Objective: Ultrahigh-resolution optical coherence microscopy (OCM) has r...
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08/06/2018
Error Correction Maximization for Deep Image Hashing
We propose to use the concept of the Hamming bound to derive the optimal...
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05/01/2018
State Diagrams of a Class of Singular LFSR and Their Applications to the Construction of de Bruijn Cycles
The state diagrams of a class of singular linear feedback shift register...
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03/09/2018
Image Registration Based Flicker Solving in Video Face Replacement and Analysis Based Sub-pixel Image Registration
In this paper, a framework of video face replacement is proposed and it ...
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01/09/2018
Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection
Deep CNN-based object detection systems have achieved remarkable success...
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12/28/2017
Discriminative and Geometry Aware Unsupervised Domain Adaptation
Domain adaptation (DA) aims to generalize a learning model across traini...
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05/24/2017
Robust Data Geometric Structure Aligned Close yet Discriminative Domain Adaptation
Domain adaptation (DA) is transfer learning which aims to leverage label...
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04/13/2017
Close Yet Distinctive Domain Adaptation
Domain adaptation is transfer learning which aims to generalize a learni...
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12/12/2016
Deep Supervised Hashing with Triplet Labels
Hashing is one of the most popular and powerful approximate nearest neig...
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12/08/2016