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08/26/2023
A Comprehensive Survey for Evaluation Methodologies of AI-Generated Music
In recent years, AI-generated music has made significant progress, with ...
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06/11/2023
Variational Imbalanced Regression
Existing regression models tend to fall short in both accuracy and uncer...
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12/01/2022
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation
The capture and animation of human hair are two of the major challenges ...
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07/28/2022
Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images
We present Neural Strands, a novel learning framework for modeling accur...
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06/27/2022
A Formal Specification of Operating System based on ARINC 653
In this paper, by using the formal language Circus, we give a formal spe...
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02/14/2022
SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
Satisfying safety constraints almost surely (or with probability one) ca...
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12/13/2021
HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture
Capturing and rendering life-like hair is particularly challenging due t...
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12/17/2020
Learning Compositional Radiance Fields of Dynamic Human Heads
Photorealistic rendering of dynamic humans is an important ability for t...
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12/14/2018
A Parametric Top-View Representation of Complex Road Scenes
In this paper, we address the problem of inferring the layout of complex...
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11/03/2018
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition
We present recurrent geometry-aware neural networks that integrate visua...
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11/30/2017
Semantic Photometric Bundle Adjustment on Natural Sequences
The problem of obtaining dense reconstruction of an object in a natural ...
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11/04/2017
Object-Centric Photometric Bundle Adjustment with Deep Shape Prior
Reconstructing 3D shapes from a sequence of images has long been a probl...
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04/13/2017
Virtual to Real Reinforcement Learning for Autonomous Driving
Reinforcement learning is considered as a promising direction for drivin...
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04/06/2016