Papers
Label Augmented Dataset Distillation
Seoungyoon Kang, Youngsun Lim, Hyunjung Shim
FaVoR: Features via Voxel Rendering for Camera Relocalization
Vincenzo Polizzi, Marco Cannici, Davide Scaramuzza et al.
Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier
Kai Wang, Fei Yang, Bogdan Raducanu et al.
Detecting Wildfires on UAVs with Real-Time Segmentation Trained by Larger Teacher Models
Julius Pesonen, Teemu Hakala, Väinö Karjalainen et al.
McCaD: Multi-Contrast MRI Conditioned Adaptive Adversarial Diffusion Model for High-Fidelity MRI Synthesis
Sanuwani Dayarathna, Kh Tohidul Islam, Bohan Zhuang et al.
Importance-Guided Interpretability and Pruning for Video Transformers in Driver Action Recognition
Raquel Panadero Palenzuela, Dominik Schörkhuber, Margrit Gelautz
Planar Gaussian Splatting
Farhad G. Zanjani, Hong Cai, Hanno Ackermann et al.
FluoNeRF: Fluorescent Novel-View Synthesis under Novel Light Source Colors
Lin Shi, Kengo Matsufuji, Ryo Kawahara et al.
LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-Timestamp 3D Human Pose Estimation
Zhiyu Pan, Zhicheng Zhong, Wenxuan Guo et al.
Enhancing Image Layout Control with Loss-Guided Diffusion Models
Zakaria Patel, Kirill Serkh
DashCop: Automated E-Ticket Generation for Two-Wheeler Traffic Violations using Dashcam Videos
Deepti Rawat, Keshav Gupta, Aryamaan Basu Roy et al.
Debiasify: Self-Distillation for Unsupervised Bias Mitigation
Nourhan Bayasi, Jamil Fayyad, Ghassan Hamarneh et al.
Label Calibration in Source Free Domain Adaptation
Shivangi Rai, Rini Smita Thakur, Kunal Jangid et al.
Generating Visual Explanations from Deep Networks using Implicit Neural Representations
Michal Byra, Henrik Skibbe
Skip-and-Play: Depth-Driven Pose-Preserved Image Generation for Any Objects
Kyungmin Jo, Jaegul Choo
Point-GN: A Non-Parametric Network using Gaussian Positional Encoding for Point Cloud Classification
Marzieh Mohammadi, Amir Salarpour
A Generic Vehicle-to-Sensor Calibration Framework
Sumin Hu, Youngmin Yoo, Jeeseong Kim et al.
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
Felix Wagner, Wentian Xu, Pramit Saha et al.
MonoPP: Metric-Scaled Self-Supervised Monocular Depth Estimation by Planar-Parallax Geometry in Automotive Applications
Gasser Elazab, Torben Gräber, Michael Unterreiner et al.
DreamBlend: Advancing Personalized Fine-Tuning of Text-to-Image Diffusion Models
Shwetha Ram, Tal Neiman, Qianli Feng et al.
Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach
Wenjun Huang, Yang Ni, Arghavan Rezvani Dehaghani et al.
Attribute Diffusion: Diffusion Driven Diverse Attribute Editing
Rishubh Parihar, Prasanna Balaji, Raghav Magazine et al.
MAISI: Medical AI for Synthetic Imaging
Pengfei Guo, Can Zhao, Dong Yang et al.
Improving Deep Detector Robustness via Detection-Related Discriminant Maximization and Reorganization
Jung Im Choi, Qizhen Lan, Qing Tian