A close-up image of a conference program guide opened to a page detailing the schedule and list of presentations for Wednesday, June 19. The page includes a comprehensive list of paper presentations, each numbered and consisting of a title along with the names of the authors. Topics range across various advanced technical subjects such as machine learning, data processing, neural networks, and AI model training. The list appears to include significant contributions from researchers around the world. The guide is held open against a wooden floor and a chair, indicating a casual, possibly informal conference environment.
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PROGRAM GUIDE
Zhou, Deli Zhao, Ran Yi, Wenping Wang, Yong-Jin Liu
UniPTS: A Unified Framework for Proficient Post-Training
Sparsity, Jingjing Xie, Yuxin Zhang, Mingbao Lin, Liujuan Cao,
Learning Structure-from-Motion with Graph Attention Networks,
SHVIT: Single-Head Vision Transformer with Memory Efficient
Lucas Brynte, José Pedro Iglesias, Carl Olsson, Fredrik Kahl
Macro Design, Seokju Yun, Youngmin Ro
Rongrong Ji
32 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,
33 JointSQ: Joint Sparsification-Quantization for Distributed
Donglai Liu, Leyuan Fang
9 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 D4 Dataset Distillation via Disentangled Diffusion Model, Duo
Su Junjie Hou, Weizhi Gao, Yingjie Tian, Bowen Tang
State Space Models for Event Cameras, Nikola Zubic, Mathias
Gehrig Davide Scaramuzza
s Your Image is My Video: Reshaping the Receptive Field
vie Image-To-Video Differentiable AutoAugmentation and
Fusion, Sofie Casarin, Cynthia I. Ugwu, Sergio Escalera,
Oswald Lanz
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
101 FedUV: Uniformity and Variance for Heterogeneous Federated
'Learning. Ha Min Son, Moon-Hyun Kim, Tai-Myoung Chung,
Chao Huang, Xin Liu
WEDNESDAY, JUNE 19
115 MedBN: Robust Test-Time Adaptation against Malicious Test
Samples, Hyejin Park, Jeongyeon Hwang, Sunung Mun, Sangdon
Park, Jungseul Ok
12 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
116
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
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
118
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
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
1 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
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
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