Search Results for author: Jianren Wang

Found 18 papers, 6 papers with code

GSIR: Generalizable 3D Shape Interpretation and Reconstruction

no code implementations ECCV 2020 Jianren Wang, Zhaoyuan Fang

Single image 3D shape interpretation and reconstruction are closely related to each other but have long been studied separately and often end up with priors that are highly biased by training classes.

3D Reconstruction

Semi-supervised 3D Object Detection via Temporal Graph Neural Networks

no code implementations1 Feb 2022 Jianren Wang, Haiming Gang, Siddarth Ancha, Yi-Ting Chen, David Held

However, these detectors usually require training on large amounts of annotated data that is expensive and time-consuming to collect.

3D Object Detection Autonomous Driving

Wanderlust: Online Continual Object Detection in the Real World

1 code implementation ICCV 2021 Jianren Wang, Xin Wang, Yue Shang-Guan, Abhinav Gupta

To bridge the gap, we present a new online continual object detection benchmark with an egocentric video dataset, Objects Around Krishna (OAK).

Continual Learning Object Detection

Molecular Contrastive Learning of Representations via Graph Neural Networks

1 code implementation19 Feb 2021 Yuyang Wang, Jianren Wang, Zhonglin Cao, Amir Barati Farimani

In this work, we present MolCLR: Molecular Contrastive Learning of Representations via Graph Neural Networks (GNNs), a self-supervised learning framework that leverages large unlabeled data (~10M unique molecules).

Contrastive Learning Drug Discovery +2

PanoNet3D: Combining Semantic and Geometric Understanding for LiDARPoint Cloud Detection

no code implementations17 Dec 2020 Xia Chen, Jianren Wang, David Held, Martial Hebert

Visual data in autonomous driving perception, such as camera image and LiDAR point cloud, can be interpreted as a mixture of two aspects: semantic feature and geometric structure.

Autonomous Driving Cloud Detection

CLOUD: Contrastive Learning of Unsupervised Dynamics

no code implementations23 Oct 2020 Jianren Wang, Yujie Lu, Hang Zhao

Developing agents that can perform complex control tasks from high dimensional observations such as pixels is challenging due to difficulties in learning dynamics efficiently.

Contrastive Learning

Uncertainty-aware Self-supervised 3D Data Association

1 code implementation18 Aug 2020 Jianren Wang, Siddharth Ancha, Yi-Ting Chen, David Held

Instead, we propose leveraging vast unlabeled datasets by self-supervised metric learning of 3D object trackers, with a focus on data association.

Metric Learning Object Detection

AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics

no code implementations18 Aug 2020 Xinshuo Weng, Jianren Wang, David Held, Kris Kitani

Additionally, 3D MOT datasets such as KITTI evaluate MOT methods in 2D space and standardized 3D MOT evaluation tools are missing for a fair comparison of 3D MOT methods.

3D Multi-Object Tracking Autonomous Driving

PanoNet: Real-time Panoptic Segmentation through Position-Sensitive Feature Embedding

no code implementations1 Aug 2020 Xia Chen, Jianren Wang, Martial Hebert

We propose a simple, fast, and flexible framework to generate simultaneously semantic and instance masks for panoptic segmentation.

Autonomous Driving Panoptic Segmentation

Motion Prediction in Visual Object Tracking

no code implementations1 Jul 2020 Jianren Wang, Yihui He

Although our baseline system is a straightforward combination of standard methods, we obtain state-of-the-art results.

Autonomous Driving motion prediction +4

Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting

no code implementations18 Mar 2020 Xinshuo Weng, Jianren Wang, Sergey Levine, Kris Kitani, Nicholas Rhinehart

Through experiments on a robotic manipulation dataset and two driving datasets, we show that SPFNet is effective for the SPF task, our forecast-then-detect pipeline outperforms the detect-then-forecast approaches to which we compared, and that pose forecasting performance improves with the addition of unlabeled data.

Decision Making Future prediction +1

AlignNet: A Unifying Approach to Audio-Visual Alignment

1 code implementation12 Feb 2020 Jianren Wang, Zhaoyuan Fang, Hang Zhao

We present AlignNet, a model that synchronizes videos with reference audios under non-uniform and irregular misalignments.

Frame

Deep Mixture Density Network for Probabilistic Object Detection

no code implementations24 Nov 2019 Yihui He, Jianren Wang

The covariances help to learn the relationship between the borders, and the mixture components potentially learn different configurations of an occluded part.

Object Detection Object Localization

Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks

no code implementations21 Oct 2019 Yihui He, Jianing Qian, Jianren Wang

Very deep convolutional neural networks (CNNs) have been firmly established as the primary methods for many computer vision tasks.

Self-Driving Cars

3D Multi-Object Tracking: A Baseline and New Evaluation Metrics

1 code implementation9 Jul 2019 Xinshuo Weng, Jianren Wang, David Held, Kris Kitani

Additionally, 3D MOT datasets such as KITTI evaluate MOT methods in the 2D space and standardized 3D MOT evaluation tools are missing for a fair comparison of 3D MOT methods.

3D Multi-Object Tracking Autonomous Driving +1

Prediction-Tracking-Segmentation

no code implementations5 Apr 2019 Jianren Wang, Yihui He, Xiaobo Wang, Xinjia Yu, Xia Chen

We introduce a prediction driven method for visual tracking and segmentation in videos.

Video Segmentation Video Semantic Segmentation +1

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