Search Results for author: Kihwan Kim

Found 24 papers, 12 papers with code

An Empirical Analysis on Transparent Algorithmic Exploration in Recommender Systems

no code implementations31 Jul 2021 Kihwan Kim

Our results indicated that users left significantly more feedback on items chosen for exploration with our interface.

Recommendation Systems

Neural 3D Clothes Retargeting from a Single Image

no code implementations29 Jan 2021 Jae Shin Yoon, Kihwan Kim, Jan Kautz, Hyun Soo Park

In this paper, we present a method of clothes retargeting; generating the potential poses and deformations of a given 3D clothing template model to fit onto a person in a single RGB image.

Online Adaptation for Consistent Mesh Reconstruction in the Wild

no code implementations NeurIPS 2020 Xueting Li, Sifei Liu, Shalini De Mello, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz

This paper presents an algorithm to reconstruct temporally consistent 3D meshes of deformable object instances from videos in the wild.

3D Reconstruction

Bi3D: Stereo Depth Estimation via Binary Classifications

1 code implementation CVPR 2020 Abhishek Badki, Alejandro Troccoli, Kihwan Kim, Jan Kautz, Pradeep Sen, Orazio Gallo

Given a strict time budget, Bi3D can detect objects closer than a given distance in as little as a few milliseconds, or estimate depth with arbitrarily coarse quantization, with complexity linear with the number of quantization levels.

Autonomous Navigation Quantization +1

Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths from a Monocular Camera

no code implementations CVPR 2020 Jae Shin Yoon, Kihwan Kim, Orazio Gallo, Hyun Soo Park, Jan Kautz

Our insight is that although its scale and quality are inconsistent with other views, the depth estimation from a single view can be used to reason about the globally coherent geometry of dynamic contents.

Depth Estimation Novel View Synthesis

Two-shot Spatially-varying BRDF and Shape Estimation

1 code implementation CVPR 2020 Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P. A. Lensch, Jan Kautz

Extensive experiments on both synthetic and real-world datasets show that our network trained on a synthetic dataset can generalize well to real-world images.

Vocal Bursts Valence Prediction

Self-supervised Single-view 3D Reconstruction via Semantic Consistency

1 code implementation ECCV 2020 Xueting Li, Sifei Liu, Kihwan Kim, Shalini De Mello, Varun Jampani, Ming-Hsuan Yang, Jan Kautz

To the best of our knowledge, we are the first to try and solve the single-view reconstruction problem without a category-specific template mesh or semantic keypoints.

3D Reconstruction Object +1

ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Road Speed

1 code implementation29 Nov 2019 Cheonbok Park, Chunggi Lee, Hyojin Bahng, Yunwon Tae, Kihwan Kim, Seungmin Jin, Sungahn Ko, Jaegul Choo

Predicting road traffic speed is a challenging task due to different types of roads, abrupt speed change and spatial dependencies between roads; it requires the modeling of dynamically changing spatial dependencies among roads and temporal patterns over long input sequences.

Graph Attention

Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments

no code implementations CVPR 2019 Xueting Li, Sifei Liu, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz

In order to predict valid affordances and learn possible 3D human poses in indoor scenes, we need to understand the semantic and geometric structure of a scene as well as its potential interactions with a human.

valid

NRMVS: Non-Rigid Multi-View Stereo

no code implementations12 Jan 2019 Matthias Innmann, Kihwan Kim, Jinwei Gu, Matthias Niessner, Charles Loop, Marc Stamminger, Jan Kautz

We show that creating a dense 4D structure from a few RGB images with non-rigid changes is possible, and demonstrate that our method can be used to interpolate novel deformed scenes from various combinations of these deformation estimates derived from the sparse views.

3D Reconstruction Depth Estimation

PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image

2 code implementations CVPR 2019 Chen Liu, Kihwan Kim, Jinwei Gu, Yasutaka Furukawa, Jan Kautz

This paper proposes a deep neural architecture, PlaneRCNN, that detects and reconstructs piecewise planar surfaces from a single RGB image.

3D Plane Detection 3D Reconstruction +1

EOE: Expected Overlap Estimation over Unstructured Point Cloud Data

no code implementations6 Aug 2018 Ben Eckart, Kihwan Kim, Jan Kautz

We present an iterative overlap estimation technique to augment existing point cloud registration algorithms that can achieve high performance in difficult real-world situations where large pose displacement and non-overlapping geometry would otherwise cause traditional methods to fail.

Point Cloud Registration

Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures

1 code implementation6 Jul 2018 Ben Eckart, Kihwan Kim, Jan Kautz

Point cloud registration sits at the core of many important and challenging 3D perception problems including autonomous navigation, SLAM, object/scene recognition, and augmented reality.

Autonomous Navigation Point Cloud Registration +1

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

1 code implementation CVPR 2019 Anurag Ranjan, Varun Jampani, Lukas Balles, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black

We address the unsupervised learning of several interconnected problems in low-level vision: single view depth prediction, camera motion estimation, optical flow, and segmentation of a video into the static scene and moving regions.

Depth Prediction Monocular Depth Estimation +3

Geometry-Aware Learning of Maps for Camera Localization

1 code implementation CVPR 2018 Samarth Brahmbhatt, Jinwei Gu, Kihwan Kim, James Hays, Jan Kautz

Maps are a key component in image-based camera localization and visual SLAM systems: they are used to establish geometric constraints between images, correct drift in relative pose estimation, and relocalize cameras after lost tracking.

Camera Localization Visual Localization

Multiframe Scene Flow with Piecewise Rigid Motion

no code implementations5 Oct 2017 Vladislav Golyanik, Kihwan Kim, Robert Maier, Matthias Nießner, Didier Stricker, Jan Kautz

We introduce a novel multiframe scene flow approach that jointly optimizes the consistency of the patch appearances and their local rigid motions from RGB-D image sequences.

Scene Flow Estimation

A Lightweight Approach for On-the-Fly Reflectance Estimation

no code implementations ICCV 2017 Kihwan Kim, Jinwei Gu, Stephen Tyree, Pavlo Molchanov, Matthias Nießner, Jan Kautz

In addition, we have created a large synthetic dataset, SynBRDF, which comprises a total of $500$K RGBD images rendered with a physically-based ray tracer under a variety of natural illumination, covering $5000$ materials and $5000$ shapes.

Color Constancy

Online Detection and Classification of Dynamic Hand Gestures With Recurrent 3D Convolutional Neural Network

no code implementations CVPR 2016 Pavlo Molchanov, Xiaodong Yang, Shalini Gupta, Kihwan Kim, Stephen Tyree, Jan Kautz

Automatic detection and classification of dynamic hand gestures in real-world systems intended for human computer interaction is challenging as: 1) there is a large diversity in how people perform gestures, making detection and classification difficult; 2) the system must work online in order to avoid noticeable lag between performing a gesture and its classification; in fact, a negative lag (classification before the gesture is finished) is desirable, as feedback to the user can then be truly instantaneous.

Classification General Classification +1

Accelerated Generative Models for 3D Point Cloud Data

no code implementations CVPR 2016 Benjamin Eckart, Kihwan Kim, Alejandro Troccoli, Alonzo Kelly, Jan Kautz

In this paper we introduce a method for constructing compact generative representations of PCD at multiple levels of detail.

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