Search Results for author:
Found 14 papers, 12 papers with code
SpaRC: Sparse Radar-Camera Fusion for 3D Object Detection
In this work, we present SpaRC, a novel Sparse fusion transformer for 3D perception that integrates multi-view image semantics with Radar and Camera point features.
Ranked #1 on
3D Object Detection
on TruckScenes
Spatial-Temporal Multi-Cuts for Online Multiple-Camera Vehicle Tracking
By keeping sparse appearance and positional cues of all detections in a cluster, our method can compare clusters based on the strongest available evidence.
Lifting Multi-View Detection and Tracking to the Bird's Eye View
Taking advantage of multi-view aggregation presents a promising solution to tackle challenges such as occlusion and missed detection in multi-object tracking and detection.
Ranked #1 on
Multi-Object Tracking
on MultiviewX
Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception
HyDRa achieves a new state-of-the-art for camera-radar fusion of 64. 2 NDS (+1. 8) and 58. 4 AMOTA (+1. 5) on the public nuScenes dataset.
Ranked #1 on
3D Object Detection
on View-of-Delft (val)
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View
Most current approaches in multi-view tracking perform the detection and tracking task in each view and use graph-based approaches to perform the association of the pedestrian across each view.
Ranked #2 on
Multi-Object Tracking
on MultiviewX
Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration
Object detectors are at the heart of many semi- and fully autonomous decision systems and are poised to become even more indispensable.
Explainable Model-Agnostic Similarity and Confidence in Face Verification
This work focuses on explanations for face recognition systems, vital for developers and operators.
Synthehicle: Multi-Vehicle Multi-Camera Tracking in Virtual Cities
Smart City applications such as intelligent traffic routing or accident prevention rely on computer vision methods for exact vehicle localization and tracking.
Ranked #1 on
Multi-Object Tracking
on Synthehicle
Face Morphing: Fooling a Face Recognition System Is Simple!
State-of-the-art face recognition (FR) approaches have shown remarkable results in predicting whether two faces belong to the same identity, yielding accuracies between 92% and 100% depending on the difficulty of the protocol.
Towards a Deeper Understanding of Skeleton-based Gait Recognition
Gait recognition is a promising biometric with unique properties for identifying individuals from a long distance by their walking patterns.
The Box Size Confidence Bias Harms Your Object Detector
Recent work even suggests that detectors' confidence predictions are biased with respect to object size and position, but it is still unclear how this bias relates to the performance of the affected object detectors.
Attention-based Partial Face Recognition
In this paper, we propose a novel approach to partial face recognition capable of recognizing faces with different occluded areas.
GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition
However, silhouette images can lose fine-grained spatial information, and most papers do not regard how to obtain these silhouettes in complex scenes.
Ranked #12 on
Multiview Gait Recognition
on CASIA-B
Lightweight Multi-Branch Network for Person Re-Identification
Person Re-Identification aims to retrieve person identities from images captured by multiple cameras or the same cameras in different time instances and locations.
Ranked #1 on
Person Re-Identification
on Market-1501
(mINP metric)
