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08/11/2023
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents
The massive successes of large language models (LLMs) encourage the emer...
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07/19/2023
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
Despite advancements in conversational AI, language models encounter cha...
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07/18/2023
REX: Rapid Exploration and eXploitation for AI Agents
In this paper, we propose an enhanced approach for Rapid Exploration and...
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01/30/2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
The cost of vision-and-language pre-training has become increasingly pro...
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10/17/2022
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
Visual question answering (VQA) is a hallmark of vision and language rea...
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09/15/2022
LAVIS: A Library for Language-Vision Intelligence
We introduce LAVIS, an open-source deep learning library for LAnguage-VI...
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06/01/2022
OmniXAI: A Library for Explainable AI
We introduce OmniXAI, an open-source Python library of eXplainable AI (X...
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09/20/2021
Merlion: A Machine Learning Library for Time Series
We introduce Merlion, an open-source machine learning library for time s...
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08/06/2021
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
Recent research in embodied AI has been boosted by the use of simulation...
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06/16/2021
JRDB-Act: A Large-scale Multi-modal Dataset for Spatio-temporal Action, Social Group and Activity Detection
The availability of large-scale video action understanding datasets has ...
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10/16/2020
Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning
Navigating fluently around pedestrians is a necessary capability for mob...
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02/19/2020
JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
An autonomous navigating agent needs to perceive and track the motion of...
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11/11/2019
Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity
Large, richly annotated datasets have accelerated progress in fields suc...
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10/25/2019
JRDB: A Dataset and Benchmark for Visual Perception for Navigation in Human Environments
We present JRDB, a novel dataset collected from our social mobile manipu...
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08/24/2019
Situational Fusion of Visual Representation for Visual Navigation
A complex visual navigation task puts an agent in different situations w...
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04/18/2019
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
In many robotics and VR/AR applications, 3D-videos are readily-available...
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02/25/2019
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
Intersection over Union (IoU) is the most popular evaluation metric used...
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01/15/2019
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
A key technical challenge in performing 6D object pose estimation from R...
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07/10/2018
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration
Our goal is for a robot to execute a previously unseen task based on a s...
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06/22/2018
GONet++: Traversability Estimation via Dynamic Scene View Synthesis
Robots that interact with a dynamic environment, such as social robots a...
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06/05/2018
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
We are witnessing an increasing growth of autonomous platforms such as s...
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05/30/2018
Generalizing to Unseen Domains via Adversarial Data Augmentation
We are concerned with learning models that generalize well to different ...
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11/28/2017
CAR-Net: Clairvoyant Attentive Recurrent Network
We present an interpretable framework for path prediction that learns sc...
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10/17/2017
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
We introduce a large-scale 3D shape understanding benchmark using data a...
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03/07/2017
Deep View Morphing
Recently, convolutional neural networks (CNN) have been successfully app...
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02/03/2017
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
We present a dataset of large-scale indoor spaces that provides a variet...
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12/30/2016
Feedback Networks
Currently, the most successful learning models in computer vision are ba...
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04/02/2016
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Inspired by the recent success of methods that employ shape priors to ac...
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12/09/2015
