92 citations · 133 across the 5 of their papers we have counts for
5 papers
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting
Benjamin Wilson, William Qi, Tanmay Agarwal +10
We introduce Argoverse 2 (AV2) - a collection of three datasets for perception and forecasting research in the self-driving domain. The annotated Sensor Dataset contains 1,000 sequ…
Expectation Distance-based Distributional Clustering for Noise-Robustness
Rahmat Adesunkanmi, Ratnesh Kumar
This paper presents a clustering technique that reduces the susceptibility to data noise by learning and clustering the data-distribution and then assigning the data to the cluster…
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
Zheng Tang, Milind Naphade, Stan Birchfield +5
In comparison with person re-identification (ReID), which has been widely studied in the research community, vehicle ReID has received less attention. Vehicle ReID is challenging d…
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
Zheng Tang, Milind Naphade, Ming-Yu Liu +6
Urban traffic optimization using traffic cameras as sensors is driving the need to advance state-of-the-art multi-target multi-camera (MTMC) tracking. This work introduces CityFlow…
Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding
Ratnesh Kumar, Edwin Weill, Farzin Aghdasi +1
In this paper we tackle the problem of vehicle re-identification in a camera network utilizing triplet embeddings. Re-identification is the problem of matching appearances of objec…