activity
20152025
most citedMulti-Task Learning for Dense Prediction Tasks: A Survey

801 citations · 7.7k across the 234 of their papers we have counts for

collaborators

311 papers

cs.CV2025

Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object Shapes

Nicola Marinello, Simen Cassiman, Jonas Heylen +2

Autonomous vehicles need a complete map of their surroundings to plan and act. This has sparked research into the tasks of 3D occupancy prediction, 3D scene completion, and 3D pano…

cs.CV2025

The Tenth NTIRE 2025 Image Denoising Challenge Report

Lei Sun, Hang Guo, Bin Ren +91

This paper presents an overview of the NTIRE 2025 Image Denoising Challenge (σ = 50), highlighting the proposed methodologies and corresponding results. The primary objective is to…

cs.CV2023★ 10 cited

Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union

Zifu Wang, Maxim Berman, Amal Rannen-Triki +6

Semantic segmentation datasets often exhibit two types of imbalance: \textit{class imbalance}, where some classes appear more frequently than others and \textit{size imbalance}, wh…

cs.CV2023★ 2 cited

Breathing New Life into 3D Assets with Generative Repainting

Tianfu Wang, Menelaos Kanakis, Konrad Schindler +2

Diffusion-based text-to-image models ignited immense attention from the vision community, artists, and content creators. Broad adoption of these models is due to significant improv…

cs.CV2023

Discwise Active Learning for LiDAR Semantic Segmentation

Ozan Unal, Dengxin Dai, Ali Tamer Unal +1

While LiDAR data acquisition is easy, labeling for semantic segmentation remains highly time consuming and must therefore be done selectively. Active learning (AL) provides a solut…

cs.CV2023★ 1 cited

Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation

Zhaochong An, Guolei Sun, Zongwei Wu +2

Modern approaches have proved the huge potential of addressing semantic segmentation as a mask classification task which is widely used in instance-level segmentation. This paradig…