---
title: "IEEE Computer Society Conference on Computer Vision and"
description: "All 2,363 papers of IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2023 · page 18 of 24, the most cited…"
canonical: "https://research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/page/18/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/page/18/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [IEEE Computer Society Conference on…](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/) / [2023](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/) / [papers](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/) / page 18

# IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2023: all accepted papers

2,363 papers · page 18 of 24 · the most cited first · [← IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2023](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/)

[← prev](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/page/17/) [1](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/) … [10](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/page/10/) … [17](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/page/17/) **18** [19](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/page/19/) [20](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/page/20/) … [24](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/page/24/) [next →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/page/19/)

1701. **[Modeling Video as Stochastic Processes for Fine-Grained Video Representation Learning ↗](https://doi.org/10.1109/cvpr52729.2023.00221)**Heng Zhang, Daqing Liu, Qi Zheng et al.*17 citations*
1702. **[Multiscale Tensor Decomposition and Rendering Equation Encoding for View Synthesis ↗](https://doi.org/10.1109/cvpr52729.2023.00412)**Kang Han, Wei Xiang*17 citations*
1703. **[NeuFace: Realistic 3D Neural Face Rendering from Multi-View Images ↗](https://doi.org/10.1109/cvpr52729.2023.01618)**Mingwu Zheng, Haiyu Zhang, Yang Hongyu et al.*17 citations*
1704. **[Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN models ↗](https://doi.org/10.1109/cvpr52729.2023.00201)**Nilesh Ahuja, Parual Datta, Bhavya Kanzariya et al.*17 citations*
1705. **[Neural Texture Synthesis with Guided Correspondence ↗](https://doi.org/10.1109/cvpr52729.2023.01735)**Yang Zhou, Kaijian Chen, Rongjun Xiao et al.*17 citations*
1706. **[Octree Guided Unoriented Surface Reconstruction ↗](https://doi.org/10.1109/cvpr52729.2023.01604)**Chamin Hewa Koneputugodage, Yizhak Ben-Shabat, Stephen Gould*17 citations*
1707. **[On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks ↗](https://doi.org/10.1109/cvpr52729.2023.00082)**Hyunjun Jung, Patrick Ruhkamp, Guangyao Zhai et al.*17 citations*
1708. **[On-the-Fly Category Discovery ↗](https://doi.org/10.1109/cvpr52729.2023.01125)**Ruoyi Du, Dongliang Chang, Kongming Liang et al.*17 citations*
1709. **[PA&DA: Jointly Sampling PAth and DAta for Consistent NAS ↗](https://doi.org/10.1109/cvpr52729.2023.01149)**Shun Lu, Yu Hen Hu, Longxing Yang et al.*17 citations*
1710. **[Plateau-Reduced Differentiable Path Tracing ↗](https://doi.org/10.1109/cvpr52729.2023.00417)**Michael Fischer, Tobias Ritschel*17 citations*
1711. **[Prefix Conditioning Unifies Language and Label Supervision ↗](https://doi.org/10.1109/cvpr52729.2023.00280)**Kuniaki Saito, Kihyuk Sohn, Xiang Zhang et al.*17 citations*
1712. **[Rigidity-Aware Detection for 6D Object Pose Estimation ↗](https://doi.org/10.1109/cvpr52729.2023.00862)**Yang Hai, Rui Song, Jiaojiao Li et al.*17 citations*
1713. **[SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency ↗](https://doi.org/10.1109/cvpr52729.2023.01491)**Yang Liu, Yao Zhang, Yixin Wang et al.*17 citations*
1714. **[SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory ↗](https://doi.org/10.1109/cvpr52729.2023.01983)**Sicheng Li, Hao Li, Yue Wang et al.*17 citations*
1715. **[TriVol: Point Cloud Rendering via Triple Volumes ↗](https://doi.org/10.1109/cvpr52729.2023.01986)**Tao Hu, Xiaogang Xu, Ruihang Chu et al.*17 citations*
1716. **[Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks ↗](https://doi.org/10.1109/cvpr52729.2023.01573)**Binghui Wang, Meng Pang, Yun Dong*17 citations*
1717. **[Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples ↗](https://doi.org/10.1109/cvpr52729.2023.00388)**Jiaming Zhang, Xingjun Ma, Qi Yi et al.*17 citations*
1718. **[Unsupervised Domain Adaption with Pixel-Level Discriminator for Image-Aware Layout Generation ↗](https://doi.org/10.1109/cvpr52729.2023.00975)**Chenchen Xu, Min Zhou, Tiezheng Ge et al.*17 citations*
1719. **[VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan Segmentation ↗](https://doi.org/10.1109/cvpr52729.2023.00137)**Bingchen Yang, Haiyong Jiang, Hao Pan et al.*17 citations*
1720. **[Adapting Shortcut with Normalizing Flow: An Efficient Tuning Framework for Visual Recognition ↗](https://doi.org/10.1109/cvpr52729.2023.01532)**Yaoming Wang, Bowen Shi, Xiaopeng Zhang et al.*16 citations*
1721. **[Adaptive Global Decay Process for Event Cameras ↗](https://doi.org/10.1109/cvpr52729.2023.00942)**Urbano Miguel Nunes, Ryad Benjamin Benosman, Sio-Hoï Ieng*16 citations*
1722. **[BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos ↗](https://doi.org/10.1109/cvpr52729.2023.00869)**Jennifer J. Sun, Pierre Karashchuk, Amil V. Dravid et al.*16 citations*
1723. **[Complexity-guided Slimmable Decoder for Efficient Deep Video Compression ↗](https://doi.org/10.1109/cvpr52729.2023.01380)**Zhihao Hu, Dong Xu*16 citations*
1724. **[DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering ↗](https://doi.org/10.1109/cvpr52729.2023.00810)**Zongrui Li, Qian Zheng, Boxin Shi et al.*16 citations*
1725. **[DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks ↗](https://doi.org/10.1109/cvpr52729.2023.01540)**Samyak Jain, Sravanti Addepalli, Pawan Kumar Sahu et al.*16 citations*
1726. **[DC2: Dual-Camera Defocus Control by Learning to Refocus ↗](https://doi.org/10.1109/cvpr52729.2023.02058)**Hadi Alzayer, Abdullah Abuolaim, Leung Chun Chan et al.*16 citations*
1727. **[DeFeeNet: Consecutive 3D Human Motion Prediction with Deviation Feedback ↗](https://doi.org/10.1109/cvpr52729.2023.00535)**Xiaoning Sun, Huaijiang Sun, Bin Li et al.*16 citations*
1728. **[Decoupling Learning and Remembering: a Bilevel Memory Framework with Knowledge Projection for Task-Incremental Learning ↗](https://doi.org/10.1109/cvpr52729.2023.01933)**Wenju Sun, Qingyong Li, Jing Zhang et al.*16 citations*
1729. **[DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training ↗](https://doi.org/10.1109/cvpr52729.2023.02169)**Yihao Chen, Xianbiao Qi, Jianan Wang et al.*16 citations*
1730. **[Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with Cross-Scale Distortion Awareness ↗](https://doi.org/10.1109/cvpr52729.2023.01663)**Zhijie Shen, Zishuo Zheng, Chunyu Lin et al.*16 citations*
1731. **[Egocentric Auditory Attention Localization in Conversations ↗](https://doi.org/10.1109/cvpr52729.2023.01409)**Fiona Ryan, Hao Jiang, Abhinav Shukla et al.*16 citations*
1732. **[Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints ↗](https://doi.org/10.1109/cvpr52729.2023.00132)**Guilherme Potje, Felipe Cadar, André de Melo Araújo et al.*16 citations*
1733. **[FashionSAP: Symbols and Attributes Prompt for Fine-Grained Fashion Vision-Language Pre-Training ↗](https://doi.org/10.1109/cvpr52729.2023.01443)**Yunpeng Han, Lisai Zhang, Qingcai Chen et al.*16 citations*
1734. **[Frequency-Modulated Point Cloud Rendering with Easy Editing ↗](https://doi.org/10.1109/cvpr52729.2023.00020)**Yi Zhang, Xiaoyang Huang, Bingbing Ni et al.*16 citations*
1735. **[Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation ↗](https://doi.org/10.1109/cvpr52729.2023.01932)**Tianli Zhang, Mengqi Xue, Jiangtao Zhang et al.*16 citations*
1736. **[Genie: Show Me the Data for Quantization ↗](https://doi.org/10.1109/cvpr52729.2023.01161)**Yongkweon Jeon, Chungman Lee, Ho-young Kim*16 citations*
1737. **[GraVoS: Voxel Selection for 3D Point-Cloud Detection ↗](https://doi.org/10.1109/cvpr52729.2023.02077)**Oren Shrout, Yizhak Ben-Shabat, Ayellet Tal*16 citations*
1738. **[Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning ↗](https://doi.org/10.1109/cvpr52729.2023.01159)**Hanjing Wang, Dhiraj Joshi, Shiqiang Wang et al.*16 citations*
1739. **[Hyperspherical Embedding for Point Cloud Completion ↗](https://doi.org/10.1109/cvpr52729.2023.00515)**Junming Zhang, Haomeng Zhang, Ram Vasudevan et al.*16 citations*
1740. **[Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction ↗](https://doi.org/10.1109/cvpr52729.2023.00549)**Bin Fan, Yuxin Mao, Yuchao Dai et al.*16 citations*
1741. **[K3DN: Disparity-Aware Kernel Estimation for Dual-Pixel Defocus Deblurring ↗](https://doi.org/10.1109/cvpr52729.2023.01274)**Yan Ping Yang, Liyuan Pan, Liu Liu et al.*16 citations*
1742. **[Knowledge Combination to Learn Rotated Detection without Rotated Annotation ↗](https://doi.org/10.1109/cvpr52729.2023.01489)**Tianyu Zhu, Bryce Ferenczi, Pulak Purkait et al.*16 citations*
1743. **[Learning Human Mesh Recovery in 3D Scenes ↗](https://doi.org/10.1109/cvpr52729.2023.01634)**Zehong Shen, Zhi Cen, Sida Peng et al.*16 citations*
1744. **[Learning Partial Correlation based Deep Visual Representation for Image Classification ↗](https://doi.org/10.1109/cvpr52729.2023.00603)**Saimunur Rahman, Piotr Koniusz, Lei Wang et al.*16 citations*
1745. **[Leverage Interactive Affinity for Affordance Learning ↗](https://doi.org/10.1109/cvpr52729.2023.00658)**Hongchen Luo, Wei Zhai, Jing Zhang et al.*16 citations*
1746. **[Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels ↗](https://doi.org/10.1109/cvpr52729.2023.00335)**Maria Sofia Bucarelli, Lucas Cassano, Federico Siciliano et al.*16 citations*
1747. **[LightPainter: Interactive Portrait Relighting with Freehand Scribble ↗](https://doi.org/10.1109/cvpr52729.2023.00027)**Yiqun Mei, He Zhang, Xuaner Zhang et al.*16 citations*
1748. **[MDL-NAS: A Joint Multi-domain Learning Framework for Vision Transformer ↗](https://doi.org/10.1109/cvpr52729.2023.01924)**Shiguang Wang, Tao Xie, Jian Cheng et al.*16 citations*
1749. **[Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection ↗](https://doi.org/10.1109/cvpr52729.2023.01961)**Lianyu Wang, Meng Wang, Daoqiang Zhang et al.*16 citations*
1750. **[Modeling Entities as Semantic Points for Visual Information Extraction in the Wild ↗](https://doi.org/10.1109/cvpr52729.2023.01474)**Zhibo Yang, Rujiao Long, Pengfei Wang et al.*16 citations*
1751. **[Neural Intrinsic Embedding for Non-Rigid Point Cloud Matching ↗](https://doi.org/10.1109/cvpr52729.2023.02091)**Puhua Jiang, Mingze Sun, Ruqi Huang*16 citations*
1752. **[Neural Lens Modeling ↗](https://doi.org/10.1109/cvpr52729.2023.00815)**Wenqi Xian, Aljaž Božič, Noah Snavely et al.*16 citations*
1753. **[OmniVidar: Omnidirectional Depth Estimation from Multi-Fisheye Images ↗](https://doi.org/10.1109/cvpr52729.2023.02062)**Sheng Quan Xie, Daochuan Wang, Yunhui Liu*16 citations*
1754. **[Open-set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework ↗](https://doi.org/10.1109/cvpr52729.2023.00909)**Jianan Li, Qiulei Dong*16 citations*
1755. **[Partial Network Cloning ↗](https://doi.org/10.1109/cvpr52729.2023.01928)**Jingwen Ye, Songhua Liu, Xinchao Wang*16 citations*
1756. **[Polynomial Implicit Neural Representations For Large Diverse Datasets ↗](https://doi.org/10.1109/cvpr52729.2023.00203)**Rajhans Singh, Ankita Shukla, Pavan K. Turaga*16 citations*
1757. **[RUST: Latent Neural Scene Representations from Unposed Imagery ↗](https://doi.org/10.1109/cvpr52729.2023.01659)**Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf et al.*16 citations*
1758. **[Rawgment: Noise-Accounted RAW Augmentation Enables Recognition in a Wide Variety of Environments ↗](https://doi.org/10.1109/cvpr52729.2023.01346)**Masakazu Yoshimura, Junji Otsuka, Atsushi Irie et al.*16 citations*
1759. **[Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants with no False Negatives and no False Positives ↗](https://doi.org/10.1109/cvpr52729.2023.00129)**Daniel Widdowson, Vitaliy A. Kurlin*16 citations*
1760. **[Recovering 3D Hand Mesh Sequence from a Single Blurry Image: A New Dataset and Temporal Unfolding ↗](https://doi.org/10.1109/cvpr52729.2023.00061)**Yeonguk Oh, JoonKyu Park, Jaeha Kim et al.*16 citations*
1761. **[Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models ↗](https://doi.org/10.1109/cvpr52729.2023.02185)**Paul Micaelli, Arash Vahdat, Hongxu Yin et al.*16 citations*
1762. **[RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension ↗](https://doi.org/10.1109/cvpr52729.2023.01835)**Jiamu Sun, Gen Luo, Yiyi Zhou et al.*16 citations*
1763. **[RelightableHands: Efficient Neural Relighting of Articulated Hand Models ↗](https://doi.org/10.1109/cvpr52729.2023.01599)**Shun Iwase, Shunsuke Saito, Tomas Simon et al.*16 citations*
1764. **[SE-ORNet: Self-Ensembling Orientation-Aware Network for Unsupervised Point Cloud Shape Correspondence ↗](https://doi.org/10.1109/cvpr52729.2023.00519)**Jiacheng Deng, Chuxin Wang, Jiahao Lu et al.*16 citations*
1765. **[SVGformer: Representation Learning for Continuous Vector Graphics using Transformers ↗](https://doi.org/10.1109/cvpr52729.2023.00973)**Defu Cao, Zhaowen Wang, Jose Echevarria et al.*16 citations*
1766. **[Search-Map-Search: A Frame Selection Paradigm for Action Recognition ↗](https://doi.org/10.1109/cvpr52729.2023.01024)**Mingjun Zhao, Yakun Yu, Xiaoli Wang et al.*16 citations*
1767. **[Self-Supervised Blind Motion Deblurring with Deep Expectation Maximization ↗](https://doi.org/10.1109/cvpr52729.2023.01344)**Ji Li, Weixi Wang, Yuesong Nan et al.*16 citations*
1768. **[Semantic Scene Completion with Cleaner Self ↗](https://doi.org/10.1109/cvpr52729.2023.00090)**Fengyun Wang, Dong liang Zhang, Hanwang Zhang et al.*16 citations*
1769. **[Similarity Metric Learning For RGB-Infrared Group Re-Identification ↗](https://doi.org/10.1109/cvpr52729.2023.01313)**Jianghao Xiong, Jianhuang Lai*16 citations*
1770. **[Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective ↗](https://doi.org/10.1109/cvpr52729.2023.00768)**Yuexiao Ma, Huixia Li, Xiawu Zheng et al.*16 citations*
1771. **[Towards Flexible Multi-modal Document Models ↗](https://doi.org/10.1109/cvpr52729.2023.01373)**Naoto Inoue, Kotaro Kikuchi, Edgar Simo‐Serra et al.*16 citations*
1772. **[Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization ↗](https://doi.org/10.1109/cvpr52729.2023.01984)**Zicheng Zhang, Yinglu Liu, Congying Han et al.*16 citations*
1773. **[ViewNet: A Novel Projection-Based Backbone with View Pooling for Few-shot Point Cloud Classification ↗](https://doi.org/10.1109/cvpr52729.2023.01693)**Jiajing Chen, Minmin Yang, Senem Velipasalar*16 citations*
1774. **[VisFusion: Visibility-Aware Online 3D Scene Reconstruction from Videos ↗](https://doi.org/10.1109/cvpr52729.2023.01661)**Huiyu Gao, Wei Mao, Miaomiao Liu*16 citations*
1775. **[Zero-shot Pose Transfer for Unrigged Stylized 3D Characters ↗](https://doi.org/10.1109/cvpr52729.2023.00841)**Jiashun Wang, Xueting Li, Sifei Liu et al.*16 citations*
1776. **[A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation ↗](https://doi.org/10.1109/cvpr52729.2023.01531)**Hui Tang, Kui Jia*15 citations*
1777. **[ABLE-NeRF: Attention-Based Rendering with Learnable Embeddings for Neural Radiance Field ↗](https://doi.org/10.1109/cvpr52729.2023.01589)**Zhe Jun Tang, Tat‐Jen Cham, Haiyu Zhao*15 citations*
1778. **[AutoFocusFormer: Image Segmentation off the Grid ↗](https://doi.org/10.1109/cvpr52729.2023.01748)**Ziwen Chen, Kaushik Patnaik, Shuangfei Zhai et al.*15 citations*
1779. **[Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack ↗](https://doi.org/10.1109/cvpr52729.2023.01174)**Hideaki Takahashi, Jingjing Liu, Yang Liu*15 citations*
1780. **[Class Adaptive Network Calibration ↗](https://doi.org/10.1109/cvpr52729.2023.01542)**Bingyuan Liu, Jérôme Rony, Adrián Galdrán et al.*15 citations*
1781. **[Class Prototypes based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos ↗](https://doi.org/10.1109/cvpr52729.2023.01908)**Rohit Gupta, Anirban Roy, Claire Christensen et al.*15 citations*
1782. **[Clothed Human Performance Capture with a Double-layer Neural Radiance Fields ↗](https://doi.org/10.1109/cvpr52729.2023.02021)**Kangkan Wang, Guofeng Zhang, Suxu Cong et al.*15 citations*
1783. **[ConStruct-VL: Data-Free Continual Structured VL Concepts Learning* ↗](https://doi.org/10.1109/cvpr52729.2023.01440)**James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle et al.*15 citations*
1784. **[Consistent Direct Time-of-Flight Video Depth Super-Resolution ↗](https://doi.org/10.1109/cvpr52729.2023.00491)**Zhanghao Sun, Wei Ye, Jinhui Xiong et al.*15 citations*
1785. **[Crossing the Gap: Domain Generalization for Image Captioning ↗](https://doi.org/10.1109/cvpr52729.2023.00281)**Yuchen Ren, Zhendong Mao, Shancheng Fang et al.*15 citations*
1786. **[D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers ↗](https://doi.org/10.1109/cvpr52729.2023.00284)**Jianfeng He, Yuan Gao, Tianzhu Zhang et al.*15 citations*
1787. **[DETR with Additional Global Aggregation for Cross-domain Weakly Supervised Object Detection ↗](https://doi.org/10.1109/cvpr52729.2023.01099)**Zongheng Tang, Yifan Sun, Si Liu et al.*15 citations*
1788. **[DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment ↗](https://doi.org/10.1109/cvpr52729.2023.00440)**Heyuan Li, Bo Wang, Yanqi Cheng et al.*15 citations*
1789. **[Defining and Quantifying the Emergence of Sparse Concepts in DNNs ↗](https://doi.org/10.1109/cvpr52729.2023.01942)**Jie Ren, Mingjie Li, Qirui Chen et al.*15 citations*
1790. **[Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection ↗](https://doi.org/10.1109/cvpr52729.2023.00102)**Jia Zeng, Li Chen, Hanming Deng et al.*15 citations*
1791. **[EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision ↗](https://doi.org/10.1109/cvpr52729.2023.00475)**Jiahui Lei, Congyue Deng, Karl Schmeckpeper et al.*15 citations*
1792. **[End-to-end Video Matting with Trimap Propagation ↗](https://doi.org/10.1109/cvpr52729.2023.01378)**Wei‐Lun Huang, Ming‐Sui Lee*15 citations*
1793. **[Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields ↗](https://doi.org/10.1109/cvpr52729.2023.00015)**Brian K. S. Isaac-Medina, Chris G. Willcocks, Toby P. Breckon*15 citations*
1794. **[FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views ↗](https://doi.org/10.1109/cvpr52729.2023.02023)**Vinoj Jayasundara, Amit Agrawal, Nicolas Heron et al.*15 citations*
1795. **[Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning ↗](https://doi.org/10.1109/cvpr52729.2023.01044)**Youngjae Yu, Jiwan Chung, Heeseung Yun et al.*15 citations*
1796. **[HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search ↗](https://doi.org/10.1109/cvpr52729.2023.01154)**Jiechao Yang, Yong Liu, Hongteng Xu*15 citations*
1797. **[Image Quality-aware Diagnosis via Meta-knowledge Co-embedding ↗](https://doi.org/10.1109/cvpr52729.2023.01898)**Haoxuan Che, Siyu Chen, Hao Chen*15 citations*
1798. **[Large-scale Training Data Search for Object Re-identification ↗](https://doi.org/10.1109/cvpr52729.2023.01494)**Yue Yao, Tom Gedeon, Liang Zheng*15 citations*
1799. **[Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting ↗](https://doi.org/10.1109/cvpr52729.2023.00029)**Ruichen Zheng, Peng Li, Haoqian Wang et al.*15 citations*
1800. **[Learning a 3D Morphable Face Reflectance Model from Low-Cost Data ↗](https://doi.org/10.1109/cvpr52729.2023.00831)**Yuxuan Han, Zhibo Wang, Feng Xu*15 citations*

[← prev](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/page/17/) [1](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/) … [10](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/page/10/) … [17](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/page/17/) **18** [19](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/page/19/) [20](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/page/20/) … [24](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/page/24/) [next →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/papers/page/19/)

- [← back to](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/) — IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2023