Dancetrack: Multi-object tracking in uniform appearance and diverse motion
A typical pipeline for multi-object tracking (MOT) is to use a detector for object localization,
and following re-identification (re-ID) for object association. This pipeline is partially …
and following re-identification (re-ID) for object association. This pipeline is partially …
Carff: Conditional auto-encoded radiance field for 3d scene forecasting
Abstract We propose CARFF: Conditional Auto-encoded Radiance Field for 3D Scene
Forecasting, a method for predicting future 3D scenes given past observations. Our method …
Forecasting, a method for predicting future 3D scenes given past observations. Our method …
A novel neural multi-store memory network for autonomous visual navigation in unknown environment
Learning to achieve a user-specified objective from a random position in unseen
environments is challenging for image-guided navigation agents. The abilities of long …
environments is challenging for image-guided navigation agents. The abilities of long …
Mixed Gaussian Flow for Diverse Trajectory Prediction
Existing trajectory prediction studies intensively leverage generative models. Normalizing
flow is one of the genres with the advantage of being invertible to derive the probability …
flow is one of the genres with the advantage of being invertible to derive the probability …
Pro2Diff: Proposal Propagation for Multi-Object Tracking via the Diffusion Model
H Liu, C Zhang, B Fan, J Xu - IEEE Transactions on Image …, 2024 - ieeexplore.ieee.org
Multi-object tracking (MOT) aims to estimate the bounding boxes and ID labels of objects in
videos. The challenging issue in this task is to alleviate competitive learning between the …
videos. The challenging issue in this task is to alleviate competitive learning between the …
Learning explicit credit assignment for cooperative multi-agent reinforcement learning via polarization policy gradient
Cooperative multi-agent policy gradient (MAPG) algorithms have recently attracted wide
attention and are regarded as a general scheme for the multi-agent system. Credit …
attention and are regarded as a general scheme for the multi-agent system. Credit …
Performance Analysis of SSD and Faster RCNN Multi-class Object Detection Model for Autonomous Driving Vehicle Research Using CARLA Simulator
DR Niranjan, BC VinayKarthik - 2021 Fourth International …, 2021 - ieeexplore.ieee.org
Autonomous vehicle research has grown exponentially over the years with researchers
working on different object detection algorithms to realize safe and competent self-driving …
working on different object detection algorithms to realize safe and competent self-driving …
MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction
To predict future trajectories, the normalizing flow with a standard Gaussian prior suffers
from weak diversity. The ineffectiveness comes from the conflict between the fact of …
from weak diversity. The ineffectiveness comes from the conflict between the fact of …