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08/30/2023
MMVP: Motion-Matrix-based Video Prediction
A central challenge of video prediction lies where the system has to rea...
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07/25/2023
Strivec: Sparse Tri-Vector Radiance Fields
We propose Strivec, a novel neural representation that models a 3D scene...
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05/12/2023
Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction
Model generalizability to unseen datasets, concerned with in-the-wild ro...
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07/20/2022
Aware of the History: Trajectory Forecasting with the Local Behavior Data
The historical trajectories previously passing through a location may he...
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07/11/2022
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
In multi-modal multi-agent trajectory forecasting, two major challenges ...
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03/18/2022
Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?
This work digs into a root question in human perception: can face geomet...
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01/21/2022
Point-NeRF: Point-based Neural Radiance Fields
Volumetric neural rendering methods like NeRF generate high-quality view...
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12/04/2021
Toward Practical Self-Supervised Monocular Indoor Depth Estimation
The majority of self-supervised monocular depth estimation methods focus...
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12/04/2021
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
Advances in LiDAR sensors provide rich 3D data that supports 3D scene un...
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10/19/2021
Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
This work studies learning from a synergy process of 3D Morphable Models...
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04/21/2021
Voice2Mesh: Cross-Modal 3D Face Model Generation from Voices
This work focuses on the analysis that whether 3D face models can be lea...
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04/16/2021
Accurate 3D Facial Geometry Prediction by Multi-Task, Multi-Modal, and Multi-Representation Landmark Refinement Network
This work focuses on complete 3D facial geometry prediction, including 3...
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06/14/2020
Geometry-Aware Instance Segmentation with Disparity Maps
Most previous works of outdoor instance segmentation for images only use...
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03/15/2020
Scene Completeness-Aware Lidar Depth Completion for Driving Scenario
In this paper we propose Scene Completeness-Aware Depth Completion (SADC...
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03/15/2020
Scene Completenesss-Aware Lidar Depth Completion for Driving Scenario
In this paper we propose Scene Completeness-Aware Depth Completion (SADC...
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06/21/2019
Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion
In this paper, we propose our Correlation For Completion Network (CFCNet...
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06/06/2019
Salient Building Outline Enhancement and Extraction Using Iterative L0 Smoothing and Line Enhancing
In this paper, our goal is salient building outline enhancement and extr...
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05/26/2019
DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
Reconstructing 3D shapes from single-view images has been a long-standin...
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03/08/2019
3DN: 3D Deformation Network
Applications in virtual and augmented reality create a demand for rapid ...
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11/01/2018
Efficient Multi-Domain Dictionary Learning with GANs
In this paper, we propose the multi-domain dictionary learning (MDDL) to...
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09/01/2018
Stochastic Video Long-term Interpolation
Video interpolation is aiming to generate intermediate sequence between ...
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03/19/2018
Depth-aware CNN for RGB-D Segmentation
Convolutional neural networks (CNN) are limited by the lack of capabilit...
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02/13/2018
Recurrent Slice Networks for 3D Segmentation on Point Clouds
In this paper, we present a conceptually simple and powerful framework, ...
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01/23/2018
Learning to Prune Filters in Convolutional Neural Networks
Many state-of-the-art computer vision algorithms use large scale convolu...
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11/23/2017
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
We introduce Similarity Group Proposal Network (SGPN), a simple and intu...
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11/17/2017
Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks
Recent advances in convolutional neural networks have shown promising re...
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11/22/2016