Authors Junha Lee1,2,*, Chunghyun Park1,2,*, Jaesung Choe1, Yu-Chiang Frank Wang1, Jan Kautz1, Minsu Cho2, Chris Choy1 1NVIDIA, 2POSTECH * indicates equal contribution Abstr...
3d-segmentationfoundation-modelsopen-vocabulary
Authors Wei Dong, Christopher Choy, Charles Loop, Or Litany, Yuke Zhu, Anima Anandkumar IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Abstract Indo...
monocular-reconstructionsdfsparse-voxel-grid
Authors Yoonwoo Jeong, Seungjoo Shin, Junha Lee, Christopher Choy, Anima Anandkumar, Minsu Cho, Jaesik Park NeurIPS, 2022 Abstract The recent progress in implicit 3D represe...
neural-radiance-fieldsperceptionnerf
Authors Yufei Wang, Zhou Xian, Feng Chen, Tsun-Hsuan Wang, Yian Wang, Katerina Fragkiadaki, Christopher Choy, Zackory Erickson, David Held RSS, 2022 Model overview from the...
roboticsmanipulationdeformable-objects
Authors Shiyi Lan, Zhiding Yu, Christopher Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar IEEE International Conference on Computer Vis...
weakly-supervisedinstance-segmentationsemantic-correspondence
Authors Yoonwoo Jeong, Seokjun Ahn, Christopher Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park ICCV, 2021 Abstract In this work, we propose a camera self-calibration al...
neural-radiance-fieldscamera-calibration3d-reconstruction
Many problems in science and engineering can be formulated in terms of geometric patterns in high-dimensional spaces. We present high-dimensional convolutional networks (ConvNet...
geometric-pattern-recognitionhigh-dimensional-convolutional-networkssparse-convolution
We present Deep Global Registration, a differentiable framework for pairwise registration of real-world 3D scans. Deep global registration is based on three modules: a 6-dimens...
3d-reconstructionglobal-registration3d-features
Abstract The automation of mechanical tasks brought the modern world unprecedented prosperity and comfort. However, the majority of automated tasks have been simple mechanical ...
3d-perceptionneural-networkscomputer-vision
Authors Christopher Choy, Jaesik Park, Vladlen Koltun International Conference on Computer Vision (ICCV), 2019 Speed vs. accuracy Pareto frontier of prior methods and FCGF....
representation-learning3d-featurescomputer-vision
In many robotics and VR/AR applications, 3D-videos are readily-available sources of input (a continuous sequence of depth images, or LIDAR scans). However, those 3D-videos are p...
spatio-temporal-perception4d-convolutional-neural-networksparse-convolution
Abstract We present a method for generating colored 3D shapes from natural language. To this end, we first learn joint embeddings of freeform text descriptions and colored 3D s...
3d-reconstructiongenerative-adversarial-networknatural-language-processing
3D reconstruction from a single image is a key problem in multiple applications ranging from robotic manipulation to augmented reality. Prior methods have tackled this problem t...
3d-convolutional-neural-networkfree-form-deformation3d-reconstruction
Volumetric 3D reconstruction has witnessed a significant progress in performance through the use of deep neural network based methods that address some of the limitations of tra...
generative-adversarial-network3d-reconstruction
Understanding a visual scene goes beyond recognizing individual objects in isolation. Relationships between objects also constitute rich semantic information about the scene. In...
scene-graphrecurrent-neural-network
We introduce a Deep Stochastic IOC1 RNN Encoder- decoder framework, DESIRE, with a conditional Variational Auto-Encoder and multiple RNNs for the task of future predictions of m...
predictionrecurrent-neural-networkinverse-reinforcement-learning
Abstract 3D semantic scene labeling is fundamental to agents operating in the real world. In particular, labeling raw 3D point sets from sensors provides fine-grained semantics...
3d-vision3d-semantic-segmentationneural-networks
We present a deep learning framework for accurate visual correspondences and demonstrate its effectiveness for both geometric and semantic matching, spanning across rigid motion...
correspondenceneural-networksfully-convolutional-neural-network
Inspired by the recent success of methods that employ shape priors to achieve robust 3D reconstructions, we propose a novel recurrent neural network architecture that we call th...
multi-viewsingle-viewreconstruction