Search Results for author: Angel X. Chang

Found 30 papers, 13 papers with code

OPD: Single-view 3D Openable Part Detection

1 code implementation30 Mar 2022 Hanxiao Jiang, Yongsen Mao, Manolis Savva, Angel X. Chang

The input is a single image of an object, and as output we detect what parts of the object can open, and the motion parameters describing the articulation of each openable part.

OPD: Single-view 3D Openable Part Detection

TriCoLo: Trimodal Contrastive Loss for Fine-grained Text to Shape Retrieval

no code implementations19 Jan 2022 Yue Ruan, Han-Hung Lee, Ke Zhang, Angel X. Chang

Recent work on contrastive losses for learning joint embeddings over multimodal data has been successful at downstream tasks such as retrieval and classification.

Contrastive Learning Multi-Task Learning +1

Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms

no code implementations10 Dec 2021 Kai Wang, Xianghao Xu, Leon Lei, Selena Ling, Natalie Lindsay, Angel X. Chang, Manolis Savva, Daniel Ritchie

We then discuss different strategies for solving the problem, and design two representative pipelines: one uses available 2D floor plans to guide selection and deformation of 3D rooms; the other learns to retrieve a set of compatible 3D rooms and combine them into novel layouts.

3D Reconstruction Autonomous Navigation +1

Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments

no code implementations EMNLP 2021 Sonia Raychaudhuri, Saim Wani, Shivansh Patel, Unnat Jain, Angel X. Chang

Prior work supervises the agent with actions based on the shortest path from the agent's location to the goal, but such goal-oriented supervision is often not in alignment with the instruction.

Vision and Language Navigation

Mirror3D: Depth Refinement for Mirror Surfaces

1 code implementation CVPR 2021 Jiaqi Tan, Weijie Lin, Angel X. Chang, Manolis Savva

Despite recent progress in depth sensing and 3D reconstruction, mirror surfaces are a significant source of errors.

3D Reconstruction Depth Estimation

Plan2Scene: Converting Floorplans to 3D Scenes

1 code implementation CVPR 2021 Madhawa Vidanapathirana, Qirui Wu, Yasutaka Furukawa, Angel X. Chang, Manolis Savva

We address the task of converting a floorplan and a set of associated photos of a residence into a textured 3D mesh model, a task which we call Plan2Scene.

Plan2Scene

MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation

no code implementations NeurIPS 2020 Saim Wani, Shivansh Patel, Unnat Jain, Angel X. Chang, Manolis Savva

We propose the multiON task, which requires navigation to an episode-specific sequence of objects in a realistic environment.

SAPIEN: A SimulAted Part-based Interactive ENvironment

1 code implementation CVPR 2020 Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, Hao Su

To achieve this task, a simulated environment with physically realistic simulation, sufficient articulated objects, and transferability to the real robot is indispensable.

Mimic and Rephrase: Reflective Listening in Open-Ended Dialogue

no code implementations CONLL 2019 Justin Dieter, Tian Wang, Arun Tejasvi Chaganty, Gabor Angeli, Angel X. Chang

Reflective listening{--}demonstrating that you have heard your conversational partner{--}is key to effective communication.

Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

2 code implementations CVPR 2019 Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang, Matthias Nießner

For a 3D reconstruction of an indoor scene, our method takes as input a set of CAD models, and predicts a 9DoF pose that aligns each model to the underlying scan geometry.

3D Reconstruction

Im2Pano3D: Extrapolating 360° Structure and Semantics Beyond the Field of View

no code implementations CVPR 2018 Shuran Song, Andy Zeng, Angel X. Chang, Manolis Savva, Silvio Savarese, Thomas Funkhouser

We present Im2Pano3D, a convolutional neural network that generates a dense prediction of 3D structure and a probability distribution of semantic labels for a full 360 panoramic view of an indoor scene when given only a partial observation ( <=50%) in the form of an RGB-D image.

Im2Pano3D: Extrapolating 360 Structure and Semantics Beyond the Field of View

no code implementations12 Dec 2017 Shuran Song, Andy Zeng, Angel X. Chang, Manolis Savva, Silvio Savarese, Thomas Funkhouser

We present Im2Pano3D, a convolutional neural network that generates a dense prediction of 3D structure and a probability distribution of semantic labels for a full 360 panoramic view of an indoor scene when given only a partial observation (<= 50%) in the form of an RGB-D image.

MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments

2 code implementations11 Dec 2017 Manolis Savva, Angel X. Chang, Alexey Dosovitskiy, Thomas Funkhouser, Vladlen Koltun

We present MINOS, a simulator designed to support the development of multisensory models for goal-directed navigation in complex indoor environments.

Navigate reinforcement-learning

Learning Where to Look: Data-Driven Viewpoint Set Selection for 3D Scenes

no code implementations7 Apr 2017 Kyle Genova, Manolis Savva, Angel X. Chang, Thomas Funkhouser

We provide a search algorithm that generates a sampling of likely candidate views according to the example distribution, and a set selection algorithm that chooses a subset of the candidates that jointly cover the example distribution.

Semantic Segmentation

SceneSuggest: Context-driven 3D Scene Design

no code implementations28 Feb 2017 Manolis Savva, Angel X. Chang, Maneesh Agrawala

We present SceneSuggest: an interactive 3D scene design system providing context-driven suggestions for 3D model retrieval and placement.

Graphics Human-Computer Interaction

SceneSeer: 3D Scene Design with Natural Language

no code implementations28 Feb 2017 Angel X. Chang, Mihail Eric, Manolis Savva, Christopher D. Manning

We present SceneSeer: an interactive text to 3D scene generation system that allows a user to design 3D scenes using natural language.

Scene Generation

Semantic Scene Completion from a Single Depth Image

3 code implementations CVPR 2017 Shuran Song, Fisher Yu, Andy Zeng, Angel X. Chang, Manolis Savva, Thomas Funkhouser

This paper focuses on semantic scene completion, a task for producing a complete 3D voxel representation of volumetric occupancy and semantic labels for a scene from a single-view depth map observation.

3D Semantic Scene Completion

Evaluating the word-expert approach for Named-Entity Disambiguation

no code implementations15 Mar 2016 Angel X. Chang, Valentin I. Spitkovsky, Christopher D. Manning, Eneko Agirre

Named Entity Disambiguation (NED) is the task of linking a named-entity mention to an instance in a knowledge-base, typically Wikipedia.

Entity Disambiguation Word Sense Disambiguation

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