2 citations · 3 across the 5 of their papers we have counts for
5 papers
EffSeg: Efficient Fine-Grained Instance Segmentation using Structure-Preserving Sparsity
Cédric Picron, Tinne Tuytelaars
Many two-stage instance segmentation heads predict a coarse 28x28 mask per instance, which is insufficient to capture the fine-grained details of many objects. To address this issu…
FQDet: Fast-converging Query-based Detector
Cédric Picron, Punarjay Chakravarty, Tinne Tuytelaars
Recently, two-stage Deformable DETR introduced the query-based two-stage head, a new type of two-stage head different from the region-based two-stage heads of classical detectors a…
Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation
Georgios Kouros, Shubham Shrivastava, Cédric Picron +3
Pose estimation is usually tackled as either a bin classification or a regression problem. In both cases, the idea is to directly predict the pose of an object. This is a non-trivi…
Trident Pyramid Networks: The importance of processing at the feature pyramid level for better object detection
Cédric Picron, Tinne Tuytelaars
Feature pyramids have become ubiquitous in multi-scale computer vision tasks such as object detection. Given their importance, a computer vision network can be divided into three p…
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D Vehicle Detector
Cédric Picron, Punarjay Chakravarty, Tom Roussel +1
The estimation of the orientation of an observed vehicle relative to an Autonomous Vehicle (AV) from monocular camera data is an important building block in estimating its 6 DoF po…