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08/22/2023
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
Recent strides in Text-to-3D techniques have been propelled by distillin...
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07/20/2023
Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image
Reconstructing accurate 3D scenes from images is a long-standing vision ...
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06/16/2023
End-to-End Vectorized HD-map Construction with Piecewise Bezier Curve
Vectorized high-definition map (HD-map) construction, which focuses on t...
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06/01/2023
MEWL: Few-shot multimodal word learning with referential uncertainty
Without explicit feedback, humans can rapidly learn the meaning of words...
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03/29/2023
Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks
We study building a multi-task agent in Minecraft. Without human demonst...
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01/21/2023
Dynamic MLP for MRI Reconstruction
As convolutional neural networks (CNN) become the most successful recons...
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09/06/2022
MRF-PINN: A Multi-Receptive-Field convolutional physics-informed neural network for solving partial differential equations
Physics-informed neural networks (PINN) can achieve lower development an...
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07/19/2022
Few-shot Open-set Recognition Using Background as Unknowns
Few-shot open-set recognition aims to classify both seen and novel image...
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06/26/2022
Automatic Generation of Product-Image Sequence in E-commerce
Product images are essential for providing desirable user experience in ...
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10/04/2021
Effectiveness of Optimization Algorithms in Deep Image Classification
Adam is applied widely to train neural networks. Different kinds of Adam...
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09/01/2021
Scalable Data Annotation Pipeline for High-Quality Large Speech Datasets Development
This paper introduces a human-in-the-loop (HITL) data annotation pipelin...
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08/20/2021
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
Few-shot object detection, which aims at detecting novel objects rapidly...
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01/27/2021
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction
Traditional industrial recommenders are usually trained on a single busi...
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11/11/2020
CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction
Inspired by the success of deep learning, recent industrial Click-Throug...
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07/04/2020
Weight-dependent Gates for Network Pruning
In this paper, we propose a simple and effective network pruning framewo...
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03/15/2020
DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers
In this paper, we address the few-shot classification task from a new pe...
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03/13/2020
BigGAN-based Bayesian reconstruction of natural images from human brain activity
In the visual decoding domain, visually reconstructing presented images ...
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02/06/2020
Value of Information Analysis via Active Learning and Knowledge Sharing in Error-Controlled Adaptive Kriging
Large uncertainties in many phenomena of interest have challenged the re...
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01/24/2018
PRNN: Recurrent Neural Network with Persistent Memory
Although Recurrent Neural Network (RNN) has been a powerful tool for mod...
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12/04/2017
SOT for MOT
In this paper we present a robust tracker to solve the multiple object t...
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11/30/2015
