Search Results for author: Jianxiong Xiao

Found 20 papers, 6 papers with code

Learning from Maps: Visual Common Sense for Autonomous Driving

no code implementations25 Nov 2016 Ari Seff, Jianxiong Xiao

Today's autonomous vehicles rely extensively on high-definition 3D maps to navigate the environment.

Autonomous Driving Common Sense Reasoning +2

Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge

2 code implementations29 Sep 2016 Andy Zeng, Kuan-Ting Yu, Shuran Song, Daniel Suo, Ed Walker Jr., Alberto Rodriguez, Jianxiong Xiao

The approach was part of the MIT-Princeton Team system that took 3rd- and 4th- place in the stowing and picking tasks, respectively at APC 2016.

6D Pose Estimation 6D Pose Estimation using RGBD

3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions

2 code implementations CVPR 2017 Andy Zeng, Shuran Song, Matthias Nießner, Matthew Fisher, Jianxiong Xiao, Thomas Funkhouser

To amass training data for our model, we propose a self-supervised feature learning method that leverages the millions of correspondence labels found in existing RGB-D reconstructions.

3D Reconstruction Point Cloud Registration

DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding

no code implementations ICCV 2017 Yinda Zhang, Mingru Bai, Pushmeet Kohli, Shahram Izadi, Jianxiong Xiao

In particular, 3D context has been shown to be an extremely important cue for scene understanding - yet very little research has been done on integrating context information with deep models.

Scene Understanding

Large Scale Artificial Neural Network Training Using Multi-GPUs

no code implementations13 Nov 2015 Linnan Wang, Wei Wu, Jianxiong Xiao, Yang Yi

This paper describes a method for accelerating large scale Artificial Neural Networks (ANN) training using multi-GPUs by reducing the forward and backward passes to matrix multiplication.

Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images

no code implementations CVPR 2016 Shuran Song, Jianxiong Xiao

We focus on the task of amodal 3D object detection in RGB-D images, which aims to produce a 3D bounding box of an object in metric form at its full extent.

Ranked #6 on 3D Object Detection on SUN-RGBD val (Inference Speed (s) metric)

3D Object Detection object-detection +2

BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing

1 code implementation16 Oct 2015 Linnan Wang, Wei Wu, Jianxiong Xiao, Yi Yang

Basic Linear Algebra Subprograms (BLAS) are a set of low level linear algebra kernels widely adopted by applications involved with the deep learning and scientific computing.

Distributed, Parallel, and Cluster Computing

Robot In a Room: Toward Perfect Object Recognition in Closed Environments

no code implementations9 Jul 2015 Shuran Song, Linguang Zhang, Jianxiong Xiao

By constraining a robot to stay in a limited territory, we can ensure that the robot has seen most objects before and the speed of introducing a new object is slow.

Object Recognition

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

4 code implementations10 Jun 2015 Fisher Yu, Ari Seff, yinda zhang, Shuran Song, Thomas Funkhouser, Jianxiong Xiao

While there has been remarkable progress in the performance of visual recognition algorithms, the state-of-the-art models tend to be exceptionally data-hungry.

SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite

no code implementations CVPR 2015 Shuran Song, Samuel P. Lichtenberg, Jianxiong Xiao

Although RGB-D sensors have enabled major breakthroughs for several vision tasks, such as 3D reconstruction, we have not attained the same level of success in high-level scene understanding.

3D Reconstruction Scene Understanding

Semantic Alignment of LiDAR Data at City Scale

no code implementations CVPR 2015 Fisher Yu, Jianxiong Xiao, Thomas Funkhouser

This paper describes an automatic algorithm for global alignment of LiDAR data collected with Google Street View cars in urban environments.

Pose Estimation

DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving

no code implementations ICCV 2015 Chenyi Chen, Ari Seff, Alain Kornhauser, Jianxiong Xiao

To demonstrate this, we train a deep Convolutional Neural Network using recording from 12 hours of human driving in a video game and show that our model can work well to drive a car in a very diverse set of virtual environments.

Autonomous Driving

TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking

1 code implementation25 Apr 2015 Pingmei Xu, Krista A. Ehinger, yinda zhang, Adam Finkelstein, Sanjeev R. Kulkarni, Jianxiong Xiao

Traditional eye tracking requires specialized hardware, which means collecting gaze data from many observers is expensive, tedious and slow.

Saliency Prediction

Learning Deep Features for Scene Recognition using Places Database

no code implementations NeurIPS 2014 Bolei Zhou, Agata Lapedriza, Jianxiong Xiao, Antonio Torralba, Aude Oliva

Whereas the tremendous recent progress in object recognition tasks is due to the availability of large datasets like ImageNet and the rise of Convolutional Neural Networks (CNNs) for learning high-level features, performance at scene recognition has not attained the same level of success.

Object Recognition Scene Recognition

3D ShapeNets: A Deep Representation for Volumetric Shapes

no code implementations CVPR 2015 Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, Jianxiong Xiao

Our model, 3D ShapeNets, learns the distribution of complex 3D shapes across different object categories and arbitrary poses from raw CAD data, and discovers hierarchical compositional part representations automatically.

Ranked #31 on 3D Point Cloud Classification on ModelNet40 (Mean Accuracy metric)

3D Point Cloud Classification 3D Shape Representation +1

Local Readjustment for High-Resolution 3D Reconstruction

no code implementations CVPR 2014 Siyu Zhu, Tian Fang, Jianxiong Xiao, Long Quan

To this end, we propose a segment-based approach to readjust the camera poses locally and improve the reconstruction for fine geometry details.

3D Reconstruction Vocal Bursts Intensity Prediction

FrameBreak: Dramatic Image Extrapolation by Guided Shift-Maps

no code implementations CVPR 2013 Yinda Zhang, Jianxiong Xiao, James Hays, Ping Tan

We analyze the self-similarity of the guide image to generate a set of allowable local transformations and apply them to the input image.

Image Generation

A Linear Approach to Matching Cuboids in RGBD Images

no code implementations CVPR 2013 Hao Jiang, Jianxiong Xiao

We propose a novel linear method to match cuboids in indoor scenes using RGBD images from Kinect.

Localizing 3D cuboids in single-view images

no code implementations NeurIPS 2012 Jianxiong Xiao, Bryan Russell, Antonio Torralba

In this paper we seek to detect rectangular cuboids and localize their corners in uncalibrated single-view images depicting everyday scenes.

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