Poster Papers
24,624 papers found • Page 354 of 493
Conference
Differentiability and Optimization of Multiparameter Persistent Homology
Luis Scoccola, Siddharth Setlur, David Loiseaux et al.
Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution
Johannes Zenn, Robert Bamler
Differentiable Combinatorial Scheduling at Scale
Mingju Liu, Yingjie Li, Jiaqi Yin et al.
Differentiable Convex Polyhedra Optimization from Multi-view Images
Daxuan Ren, Haiyi Mei, Hezi Shi et al.
Differentiable Display Photometric Stereo
Seokjun Choi, Seungwoo Yoon, Giljoo Nam et al.
Differentiable Distributionally Robust Optimization Layers
Xutao Ma, Chao Ning, WenLi Du
Differentiable Euler Characteristic Transforms for Shape Classification
Ernst Roell, Bastian Rieck
Differentiable Information Bottleneck for Deterministic Multi-view Clustering
Xiaoqiang Yan, Zhixiang Jin, Fengshou Han et al.
Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks
Changwoo Lee, Hun-Seok Kim
Differentiable Mapper for Topological Optimization of Data Representation
Ziyad Oulhaj, Mathieu Carrière, Bertrand Michel
Differentiable Micro-Mesh Construction
Yishun Dou, Zhong Zheng, Qiaoqiao Jin et al.
Differentiable Model Scaling using Differentiable Topk
Kai Liu, Ruohui Wang, Jianfei Gao et al.
Differentiable Neural Surface Refinement for Modeling Transparent Objects
Weijian Deng, Dylan Campbell, Chunyi Sun et al.
Differentiable Point-based Inverse Rendering
Hoon-Gyu Chung, Seokjun Choi, Seung-Hwan Baek
Differentiable Product Quantization for Memory Efficient Camera Relocalization
Zakaria Laskar, Iaroslav Melekhov, Assia Benbihi et al.
Differentiable Weightless Neural Networks
Alan Bacellar, Zachary Susskind, Mauricio Breternitz Jr et al.
Differentially Private Bias-Term Fine-tuning of Foundation Models
Zhiqi Bu, Yu-Xiang Wang, Sheng Zha et al.
Differentially Private Decentralized Learning with Random Walks
Edwige Cyffers, Aurélien Bellet, Jalaj Upadhyay
Differentially Private Domain Adaptation with Theoretical Guarantees
Raef Bassily, Corinna Cortes, Anqi Mao et al.
Differentially private exact recovery for stochastic block models
Dung Nguyen, Anil Vullikanti
Differentially Private Post-Processing for Fair Regression
Ruicheng Xian, Qiaobo Li, Gautam Kamath et al.
Differentially Private Representation Learning via Image Captioning
Tom Sander, Yaodong Yu, Maziar Sanjabi et al.
Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach
Xinwei Zhang, Zhiqi Bu, Steven Wu et al.
Differentially Private Sum-Product Networks
Xenia Heilmann, Mattia Cerrato, Ernst Althaus
Differentially Private Synthetic Data via Foundation Model APIs 1: Images
Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni et al.
Differentially Private Worst-group Risk Minimization
Xinyu Zhou, Raef Bassily
DiffFAS: Face Anti-Spoofing via Generative Diffusion Models
Xinxu Ge, Xin Liu, Zitong Yu et al.
DiffForensics: Leveraging Diffusion Prior to Image Forgery Detection and Localization
Zeqin Yu, Jiangqun Ni, Yuzhen Lin et al.
DiffFPR: Diffusion Prior for Oversampled Fourier Phase Retrieval
Ji Li, Chao Wang
diff History for Neural Language Agents
Ulyana Piterbarg, Lerrel Pinto, Rob Fergus
DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans
Akash Sengupta, Thiemo Alldieck, NIKOS KOLOTOUROS et al.
DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene Generation
Xiaoliang Ju, Zhaoyang Huang, Yijin Li et al.
DiffiT: Diffusion Vision Transformers for Image Generation
Ali Hatamizadeh, Jiaming Song, Guilin Liu et al.
DiffLoc: Diffusion Model for Outdoor LiDAR Localization
Wen Li, Yuyang Yang, Shangshu Yu et al.
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement
Jiuming Liu, Guangming Wang, Weicai Ye et al.
DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing
Kaiwen Zhang, Yifan Zhou, Xudong XU et al.
DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction
Weiyi Lv, Yuhang Huang, NING Zhang et al.
DiffPerformer: Iterative Learning of Consistent Latent Guidance for Diffusion-based Human Video Generation
Chenyang Wang, Zerong Zheng, Tao Yu et al.
Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Tasks
Yuhao Liu, Zhanghan Ke, Fang Liu et al.
DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction
YANLONG LI, Chamara Madarasingha, Kanchana Thilakarathna
Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem
Qianliang Wu, Haobo Jiang, Lei Luo et al.
DiffSal: Joint Audio and Video Learning for Diffusion Saliency Prediction
Junwen Xiong, Peng Zhang, Tao You et al.
DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model
Zhenghao Pan, Haijin Zeng, Jiezhang Cao et al.
DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-driven Holistic 3D Expression and Gesture Generation
Junming Chen, Yunfei Liu, Jianan Wang et al.
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching
Guanghe Li, Yixiang Shan, Zhengbang Zhu et al.
DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in Pose
Yoshiyasu Yusuke, Leyuan Sun
DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation
Zilin Si, Gu Zhang, Qingwei Ben et al.
Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers
Zhengbo Zhang, Li Xu, Duo Peng et al.
DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation
Xiaobin Hu, Xu Peng, Donghao Luo et al.
DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis
Jiapeng Tang, Yinyu Nie, Lev Markhasin et al.