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04/11/2023
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond
Although text-to-image diffusion models have made significant strides in...
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03/09/2022
3SD: Self-Supervised Saliency Detection With No Labels
We present a conceptually simple self-supervised method for saliency det...
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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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07/04/2019
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
Predicting the future trajectories of multiple interacting agents in a s...
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06/25/2019
Time-Varying Interaction Estimation Using Ensemble Methods
Directed information (DI) is a useful tool to explore time-directed inte...
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05/13/2019
Deep Local Trajectory Replanning and Control for Robot Navigation
We present a navigation system that combines ideas from hierarchical pla...
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03/07/2019
Deep Visual MPC-Policy Learning for Navigation
Humans can routinely follow a trajectory defined by a list of images/lan...
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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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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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03/08/2018
GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation
We present semi-supervised deep learning approaches for traversability e...
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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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09/16/2017
To Go or Not To Go? A Near Unsupervised Learning Approach For Robot Navigation
It is important for robots to be able to decide whether they can go thro...
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01/08/2017
Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependencies
The majority of existing solutions to the Multi-Target Tracking (MTT) pr...
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01/05/2016