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07/13/2020
PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
Despite their strong modeling capacities, Convolutional Neural Networks ...
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07/13/2020
Learning to Learn Parameterized Classification Networks for Scalable Input Images
Convolutional Neural Networks (CNNs) do not have a predictable recogniti...
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07/13/2020
Deep Reinforced Attention Learning for Quality-Aware Visual Recognition
In this paper, we build upon the weakly-supervised generation mechanism ...
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04/07/2020
Depth Sensing Beyond LiDAR Range
Depth sensing is a critical component of autonomous driving technologies...
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04/01/2020
Future Video Synthesis with Object Motion Prediction
We present an approach to predict future video frames given a sequence o...
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03/28/2020
Polarized Reflection Removal with Perfect Alignment in the Wild
We present a novel formulation to removing reflection from polarized ima...
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03/25/2020
PiP: Planning-informed Trajectory Prediction for Autonomous Driving
It is critical to predict the motion of surrounding vehicles for self-dr...
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03/24/2020
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives
While the depth of modern Convolutional Neural Networks (CNNs) surpasses...
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01/22/2020
Active Perception with A Monocular Camera for Multiscopic Vision
We design a multiscopic vision system that utilizes a low-cost monocular...
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12/30/2019
Video Depth Estimation by Fusing Flow-to-Depth Proposals
We present an approach with a novel differentiable flow-to-depth layer f...
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12/24/2019
Attack-Resistant Federated Learning with Residual-based Reweighting
Federated learning has a variety of applications in multiple domains by ...
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12/13/2019
Music-oriented Dance Video Synthesis with Pose Perceptual Loss
We present a learning-based approach with pose perceptual loss for autom...
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08/04/2019
Fully Automatic Video Colorization with Self-Regularization and Diversity
We present a fully automatic approach to video colorization with self-re...
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05/13/2019
Zoom To Learn, Learn To Zoom
This paper shows that when applying machine learning to digital zoom for...
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10/25/2018
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
We present a learning-based approach to computing solutions for certain ...
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06/27/2018
Speech Denoising with Deep Feature Losses
We present an end-to-end deep learning approach to denoising speech sign...
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06/14/2018
Single Image Reflection Separation with Perceptual Losses
We present an approach to separating reflection from a single image. The...
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05/04/2018
Learning to See in the Dark
Imaging in low light is challenging due to low photon count and low SNR....
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04/29/2018
Semi-parametric Image Synthesis
We present a semi-parametric approach to photographic image synthesis fr...
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09/02/2017
Fast Image Processing with Fully-Convolutional Networks
We present an approach to accelerating a wide variety of image processin...
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07/28/2017
Photographic Image Synthesis with Cascaded Refinement Networks
We present an approach to synthesizing photographic images conditioned o...
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04/12/2016
Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids
We present a global optimization approach to optical flow estimation. Th...
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09/22/2014