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07/27/2023
MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving
Nowadays, autonomous cars can drive smoothly in ordinary cases, and it i...
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07/26/2023
Car-Studio: Learning Car Radiance Fields from Single-View and Endless In-the-wild Images
Compositional neural scene graph studies have shown that radiance fields...
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06/06/2023
On Pitfalls of Test-Time Adaptation
Test-Time Adaptation (TTA) has recently emerged as a promising approach ...
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04/17/2023
STRAP: Structured Object Affordance Segmentation with Point Supervision
With significant annotation savings, point supervision has been proven e...
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03/29/2023
DPF: Learning Dense Prediction Fields with Weak Supervision
Nowadays, many visual scene understanding problems are addressed by dens...
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11/14/2022
AsyncNeRF: Learning Large-scale Radiance Fields from Asynchronous RGB-D Sequences with Time-Pose Function
Large-scale radiance fields are promising mapping tools for smart transp...
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10/23/2022
SC-wLS: Towards Interpretable Feed-forward Camera Re-localization
Visual re-localization aims to recover camera poses in a known environme...
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10/20/2022
VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and Uncertainty-Spectrum Modeling
Recently, 3D scenes parsing with deep learning approaches has been a hea...
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10/11/2022
Planning Assembly Sequence with Graph Transformer
Assembly sequence planning (ASP) is the essential process for modern man...
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08/16/2022
Language-guided Semantic Style Transfer of 3D Indoor Scenes
We address the new problem of language-guided semantic style transfer of...
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06/03/2022
SNAKE: Shape-aware Neural 3D Keypoint Field
Detecting 3D keypoints from point clouds is important for shape reconstr...
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12/21/2021
Transferable End-to-end Room Layout Estimation via Implicit Encoding
We study the problem of estimating room layouts from a single panorama i...
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11/24/2021
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing
Multi-task indoor scene understanding is widely considered as an intrigu...
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11/15/2021
Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay
Accurate trajectory prediction of vehicles is essential for reliable aut...
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09/17/2021
Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck
Semantic understanding of 3D point clouds is important for various robot...
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09/12/2021
PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds
3D scene understanding from point clouds plays a vital role for various ...
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10/17/2020
LID 2020: The Learning from Imperfect Data Challenge Results
Learning from imperfect data becomes an issue in many industrial applica...
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07/11/2019
Efficient Semantic Scene Completion Network with Spatial Group Convolution
We introduce Spatial Group Convolution (SGC) for accelerating the comput...
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06/03/2019
Deeply-supervised Knowledge Synergy
Convolutional Neural Networks (CNNs) have become deeper and more complic...
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06/03/2019
A Closed-form Solution to Universal Style Transfer
Universal style transfer tries to explicitly minimize the losses in feat...
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07/03/2017
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation
In this paper, we propose an alternative method to estimate room layouts...
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06/07/2017