| 2024 | Growing Deep Neural Network Considering with Similarity Between Neurons. | Taigo Sakai, Kazuhiro Hotta |
| 2024 | Data-to-Model Distillation: Data-Efficient Learning Framework. | Ahmad Sajedi, Samir Khaki, Lucy Z. Liu, Ehsan Amjadian, Yuri A. Lawryshyn, Konstantinos N. Plataniotis |
| 2024 | Freeview Sketching: View-Aware Fine-Grained Sketch-Based Image Retrieval. | Aneeshan Sain, Pinaki Nath Chowdhury, Subhadeep Koley, Ayan Kumar Bhunia, Yi-Zhe Song |
| 2024 | MCUBench: A Benchmark of Tiny Object Detectors on MCUs. | Sudhakar Sah, Darshan C. Ganji, Matteo Grimaldi, Ravish Kumar, Alexander Hoffman, Honnesh Rohmetra, Ehsan Saboori |
| 2024 | On The Relationship Between Visual Anomaly-Free and Anomalous Representations. | Riya Sadrani, Ayush Bachan, Hrishikesh Sharma |
| 2024 | Single-Photon 3D Imaging with Equi-Depth Photon Histograms. | Kaustubh Sadekar, David Maier, Atul Ingle |
| 2024 | Assistive Visual Tool: Enhancing Safe Navigation with Video Remapping in AR Headsets. | Arezoo Sadeghzadeh, Md Baharul Islam, Md. Nur Uddin, Tarkan Aydin |
| 2024 | Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos. | Remy Sabathier, Niloy J. Mitra, David Novotn |
| 2024 | ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition. | Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Ali Dabouei, Nasser M. Nasrabadi |
| 2024 | Memory-Efficient Fine-Tuning for Quantized Diffusion Model. | Hyogon Ryu, Seohyun Lim, Hyunjung Shim |
| 2024 | Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery. | Grzegorz Rypesc, Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski |
| 2024 | FABRIC: Personalizing Diffusion Models with Iterative Feedback. | Dimitri von Rtte, Elisabetta Fedele, Jonathan Thomm, Lukas Wolf |
| 2024 | DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer. | Dan Ruta, Gemma Canet Tarrs, Andrew Gilbert, Eli Shechtman, Nicholas I. Kolkin, John P. Collomosse |
| 2024 | Self-supervised Disentangled Representation Learning of Artistic Style Through Neural Style Transfer. | Dan Ruta, Gemma Canet Tarrs, Alexander Black, Andrew Gilbert, John P. Collomosse |
| 2024 | NeAT: Neural Artistic Tracing for High Resolution Style Transfer. | Dan Ruta, Andrew Gilbert, John P. Collomosse, Eli Shechtman, Nicholas I. Kolkin |
| 2024 | Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models. | Shouwei Ruan, Yinpeng Dong, Hanqing Liu, Yao Huang, Hang Su, Xingxing Wei |
| 2024 | How to Squeeze An Explanation Out of Your Model. | Tiago Roxo, Joana Cabral Costa, Pedro R. M. Incio, Hugo Proena |
| 2024 | IPAdapter-Instruct: Resolving Ambiguity in Image-Based Conditioning Using Instruct Prompts. | Ciara Rowles, Shimon Vainer, Dante De Nigris, Slava Elizarov, Konstantin Kutsy, Simon Donn |
| 2024 | N Heads Are Better Than One: Exploring Theoretical Performance Bounds of 3D Face Reconstruction Methods. | Will Rowan, Patrik Huber, Nick E. Pears, Andrew Keeling |
| 2024 | AV-CPL: Continuous Pseudo-labeling for Audio-Visual Speech Recognition. | Andrew Rouditchenko, Ronan Collobert, Tatiana Likhomanenko |
| 2024 | Enhancing Perceptual Quality in Video Super-Resolution Through Temporally-Consistent Detail Synthesis Using Diffusion Models. | Claudio Rota, Marco Buzzelli, Joost van de Weijer |
| 2024 | YCB-Ev 1.1: Event-Vision Dataset for 6DoF Object Pose Estimation. | Pavel Rojtberg, Thomas Pllabauer |
| 2024 | DATENeRF: Depth-Aware Text-Based Editing of NeRFs. | Sara Rojas, Julien Philip, Kai Zhang, Sai Bi, Fujun Luan, Bernard Ghanem, Kalyan Sunkavalli |
| 2024 | DiscoMatch: Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching. | Paul Roetzer, Ahmed Abbas, Dongliang Cao, Florian Bernard, Paul Swoboda |
| 2024 | Characterizing Model Robustness via Natural Input Gradients. | Adrin Rodrguez-Muoz, Tongzhou Wang, Antonio Torralba |