Search Results for author:
Found 15 papers, 6 papers with code
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 generating images from text, they are sometimes more inclined to generate images like the data on which the model was trained rather than the provided text.
3SD: Self-Supervised Saliency Detection With No Labels
Our method generates and uses pseudo-ground truth labels for training.
JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
In this work we present JRMOT, a novel 3D MOT system that integrates information from RGB images and 3D point clouds to achieve real-time, state-of-the-art tracking performance.
Ranked #9 on
Multiple Object Tracking
on KITTI Tracking test
JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments
We present JRDB, a novel egocentric dataset collected from our social mobile manipulator JackRabbot.
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
This problem is compounded by the presence of social interactions between humans and their physical interactions with the scene.
Ranked #17 on
Trajectory Prediction
on ETH/UCY
Time-Varying Interaction Estimation Using Ensemble Methods
Directed information (DI) is a useful tool to explore time-directed interactions in multivariate data.
Deep Local Trajectory Replanning and Control for Robot Navigation
We present a navigation system that combines ideas from hierarchical planning and machine learning.
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
By incorporating this generalized $IoU$ ($GIoU$) as a loss into the state-of-the art object detection frameworks, we show a consistent improvement on their performance using both the standard, $IoU$ based, and new, $GIoU$ based, performance measures on popular object detection benchmarks such as PASCAL VOC and MS COCO.
VUNet: Dynamic Scene View Synthesis for Traversability Estimation using an RGB Camera
We present VUNet, a novel view(VU) synthesis method for mobile robots in dynamic environments, and its application to the estimation of future traversability.
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
Whereas, the social attention component aggregates information across the different agent interactions and extracts the most important trajectory information from the surrounding neighbors.
Ranked #4 on
Trajectory Prediction
on Stanford Drone
(ADE (8/12) @K=5 metric)
GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation
We present semi-supervised deep learning approaches for traversability estimation from fisheye images.
CAR-Net: Clairvoyant Attentive Recurrent Network
We exploit two sources of information: the past motion trajectory of the agent of interest and a wide top-view image of the navigation scene.
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 through a space or not, as they navigate through a dynamic environment.
Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependencies
To address this challenge, we present a structure of Recurrent Neural Networks (RNN) that jointly reasons on multiple cues over a temporal window.
Forecasting Social Navigation in Crowded Complex Scenes
We present an extensive evaluation where different methods for trajectory forecasting are evaluated and compared.
