In this image, we see an open booklet featuring a detailed schedule for Wednesday, June 19. This program guide showcases a section of a lengthy agenda, evidently for an academic or professional conference, focusing on various technical and specialized topics. Each entry is numbered and includes titles of presentations along with the names of the presenters or authors, indicating a broad range of discussion topics including machine learning, neural networks, data augmentation, and AI-related themes. The left page, visible only partially, begins with the concluding part of entries possibly from Tuesday, June 18. The right page is filled entirely with entries for Wednesday, June 19, which begin from the top with entry number “115 - Medishift: Robust Test-Time Adaptation against Malicious Test Samples” and ends at the bottom with entry number “138 - Real-time 3D-aware Portrait Video Generation”. The text is printed in a clear, organized manner with a combination of bold and regular font, likely to distinguish the title from the names of the presenters. The background shows the image was taken indoors, with a wooden floor seen in the background. The attire at the bottom suggests someone is holding or has placed the booklet on their lap, emphasizing the in-depth detail and density of information being consulted by the attendee. Text transcribed from the image: AY, JUNE 19 3D Head ias Nießner ulti-scale Xia, Xinliang rajectory OnvNet jie Zhao, Kernel thy D. on, Fd, He, eripheral en, A. earch Yu, Zhang o Fan, g in U ud Fan, , se PROGRAM GUIDE Zhou, Deli Zhao, Ran Yi, Wenping Wang, Yong-Jin Liu UniPTS: A Unified Framework for Proficient Post-Training Jingjing Xie, Yuxin Zhang, Mingbao Lin, Liujuan Cao, Sparsity Rongrong Ji 90 Learning Structure-from-Motion with Graph Attention Networks, Lucas Brynte, José Pedro Iglesias, Carl Olsson, Fredrik Kahl 9 SHVIT: Single-Head Vision Transformer with Memory Efficient Macro Design, Seokju Yun, Youngmin Ro se Denoising Point Clouds in Latent Space via Graph Convolution and Invertible Neural Network, Aihua Mao, Biao Yan, Zijing Ma, Ying He Learning, Weiying Xie, Haowei Li, Jitao Ma, Yunsong Li, Jie Lei, $3 JointSQ: Joint Sparsification-Quantization for Distributed Donglei Liu, Leyuan Fang YolOOD: Utilizing Object Detection Concepts for Multi-Label Out- of Distribution Detection, Alon Zolfi, Guy Amit, Amit Baras, Satoru Kods Ikuya Morikawa, Yuval Elovici, Asaf Shabtai RepAn: Enhanced Annealing through Re-parameterization, Xiang Fei Xiawu Zheng, Yan Wang, Fei Chao, Chenglin Wu, Liujuan Cao 96 D:Dataset Distillation via Disentangled Diffusion Model, Duo Su Junjie Hou, Weizhi Gao, Yingjie Tian, Bowen Tang S7 State Space Models for Event Cameras, Nikola Zubic, Mathias Your Image is My Video: Reshaping the Receptive Field vie Image-To-Video Differentiable AutoAugmentation and Fusion, Sofia Casarin, Cynthia I. Ugwu, Sergio Escalera, Gehrig Davide Scaramuzza Oswald Lanz 9 Sparse Semi-DETR: Sparse Learnable Queries for Semi- Supervised Object Detection, Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal 100 MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling, Xuzhe Zhang, Yuhao Wu, Elsa Angelini, Ang Li, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Pathik D. Wadhwa, Andrea Parolin Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang FedUV: Uniformity and Variance for Heterogeneous Federated Learning, Ha Min Son, Moon-Hyun Kim, Tai-Myoung Chung, Chao Huang, Xin Liu 102 Florence-2: Advancing a Unified Representation for a Variety of * Vision lasks, Bin Xiao, Haiping Wu, Weijian Xu, Xiyang Dai, Houdong Hu, Yumao Lu, Michael Zeng, Ce Liu, Lu Yuan 103 Pick-or-Mix: Dynamic Channel Sampling for ConvNets, Ashish Kumar, Daneul Kim, Jaesik Park, Laxmidhar Behera 104 Sheared Backpropagation for Fine-tuning Foundation Models, Zhiyuan Yu, Li Shen, Liang Ding, Xinmei Tian, Yixin Chen, Dacheng Tao 105 AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search, Junghyup Lee, Bumsub Ham 106 MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation, Sumanth Udupa, Prajwal Gurunath, Aniruddh Sikdar, Suresh Sundaram 107 Training-Free Pretrained Model Merging, Zhengqi Xu, Ke Yuan, Huigiong Wang, Yong Wang, Mingli Song, Jie Song 108 Training Generative Image Super-Resolution Models by Wavelet- Domain Losses Enables Better Control of Artifacts, Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan 109 IReNe: Instant Recoloring of Neural Radiance Fields, Alessio Mazzucchelli, Adrian García-Garcia, Elena Garces, Fernando Rivas- Manzaneque, Francesc Moreno-Noguer, Adrian Penate-Sanchez 110 AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor, Sudong Cai 111 Kernel Adaptive Convolution for Scene Text Detection via Distance Map Prediction, Jinzhi Zheng, Heng Fan, Libo Zhang 112 Towards Accurate and Robust Architectures via Neural Architecture Search, Yuwei Ou, Yuqi Feng, Yanan Sun 113 PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation, Jinfeng Xu, Siyuan Yang, Xianzhi Li, Yuan Tang, Yixue Hao, Long Hu, Min Chen 114 Permutation Equivariance of Transformers and Its Applications, Hengyuan Xu, Liyao Xiang, Hangyu Ye, Dixi Yao, Pengzhi Chu, Baochun Li WEDNESDAY, JUNE 19 115 MedBN: Robust Test-Time Adaptation against Malicious Test Samples, Hyejin Park, Jeongyeon Hwang, Sunung Mun, Sangdon Park, Jungseul Ok 116 118 Small Scale Data-Free Knowledge Distillation, He Liu, Yikai Wang, Huaping Liu, Fuchun Sun, Anbang Yao 117 Identifying Important Group of Pixels using Interactions, Kosuke Sumiyasu, Kazuhiko Kawamoto, Hiroshi Kera Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization, Khiem Le, Long Ho, Cuong Do, Danh Le-Phuoc, Kok-Seng Wong 119 OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning, Xinyu Geng, Jiaming Wang, Jiawei Gong, Yuerong Xue, Jun Xu, Fanglin Chen, Xiaolin Huang 120 Mean-Shift Feature Transformer, Takumi Kobayashi 121 You Only Need Less Attention at Each Stage in Vision Transformers, Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He 122 HEAL-SWIN: A Vision Transformer On The Sphere, Oscar Carlsson, Jan E. Gerken, Hampus Linander, Heiner Spieß, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson 123 NC-TTT: A Noise Constrastive Approach for Test-Time Training, David Osowiechi, Gustavo A. Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers 124 Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning, Wenlong Deng, Christos Thrampoulidis, Xiaoxiao Li 125 MR-VNet: Media Restoration using Volterra Networks, Siddharth Roheda, Amit Unde, Loay Rashid 126 Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities, Yiyuan Zhang, Xiaohan Ding, Kaixiong Gong, Yixiao Ge, Ying Shan, Xiangyu Yue 127 GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs, Mustafa Munir, William Avery, Md Mostafijur Rahman, Radu Marculescu 128 FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer, Dongyeong Hwang, Hyunju Kim, Sunwoo Kim, Kijung Shin 129 Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices, Huancheng Chen, Haris Vikalo 130 In Search of a Data Transformation That Accelerates Neural Field *Training, Junwon Seo, Sangyoon Lee, Kwang In Kim, Jaeho Lee 131 Wired Perspectives: Multi-View Wire Art Embraces Generative Al, Zhiyu Qu, Lan Yang, Honggang Zhang, Tao Xiang, Kaiyue Pang, Yi-Zhe Song 132 DemoFusion: Democratising High-Resolution Image Generation With No $$$, Ruoyi Du, Dongliang Chang, Timothy Hospedales, Yi-Zhe Song, Zhanyu Ma 133 DiffPerformer: Iterative Learning of Consistent Latent Guidance for Diffusion-based Human Video Generation, Chenyang Wang, Zerong Zheng, Tao Yu, Xiaoqian Lv, Bineng Zhong, Shengping Zhang, Liqiang Nie 134 InteractDiffusion: Interaction Control in Text-to-Image Diffusion Models, Jiun Tian Hoe, Xudong Jiang, Chee Seng Chan, Yap-Peng Tan, Weipeng Hu 135 Intelligent Grimm - Open-ended Visual Storytelling via Latent Diffusion Models, Chang Liu, Haoning Wu, Yujie Zhong, Xiaoyun Zhang, Yanfeng Wang, Weidi Xie 136 ControlRoom3D: Room Generation using Semantic Proxy Rooms, Jonas Schult, Sam Tsai, Lukas Höllein, Bichen Wu, Jialiang Wang, Chih-Yao Ma, Kunpeng Li, Xiaofang Wang, Felix Wimbauer, Zijian He, Peizhao Zhang, Bastian Leibe, Peter Vajda, Ji Hou 137 Cache Me if You Can: Accelerating Diffusion Models through Block Caching, Felix Wimbauer, Bichen Wu, Edgar Schoenfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang 138 Real-time 3D-aware Portrait Video Relighting, *Ziqi Cai, Kaiwen Jiang, Shu-Yu Chen, Yu-Kun Lai, Hongbo Fu, Boxin Shi, Lin Gao 19