2024 Poster Papers
8,865 papers found • Page 27 of 178
ComFusion: Enhancing Personalized Generation by Instance-Scene Compositing and Fusion
Yan Hong, Yuxuan Duan, Bo Zhang et al.
COM Kitchens: An Unedited Overhead-view Procedural Videos Dataset a Vision-Language Benchmark
Atsushi Hashimoto, Koki Maeda, Tosho Hirasawa et al.
CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images
Aaron Gokaslan, A. Feder Cooper, Jasmine Collins et al.
Commonly Interesting Images
Fitim Abdullahu, Helmut Grabner
Commonsense Prototype for Outdoor Unsupervised 3D Object Detection
Hai Wu, Shijia Zhao, Xun Huang et al.
Common Sense Reasoning for Deep Fake Detection
Yue Zhang, Ben Colman, Xiao Guo et al.
Communication-Efficient Collaborative Perception via Information Filling with Codebook
Yue Hu, Juntong Peng, Sifei Liu et al.
Communication-Efficient Federated Learning with Accelerated Client Gradient
Geeho Kim, Jinkyu Kim, Bohyung Han
Communication-Efficient Federated Non-Linear Bandit Optimization
Chuanhao Li, Chong Liu, Yu-Xiang Wang
Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates
Siqi Zhang, Sayantan Choudhury, Sebastian Stich et al.
Community-Invariant Graph Contrastive Learning
Shiyin Tan, Dongyuan Li, Renhe Jiang et al.
COMO: Compact Mapping and Odometry
Eric Dexheimer, Andrew Davison
CoMo: Controllable Motion Generation through Language Guided Pose Code Editing
Yiming Huang, WEILIN WAN, Yue Yang et al.
CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models
Sreyan Ghosh, Ashish Seth, Sonal Kumar et al.
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
Wieland Morgenstern, Florian Barthel, Anna Hilsmann et al.
Compact Optimality Verification for Optimization Proxies
Wenbo Chen, Haoruo Zhao, Mathieu Tanneau et al.
Comparing Graph Transformers via Positional Encodings
Mitchell Black, Zhengchao Wan, Gal Mishne et al.
Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods
Mingqi Jiang, Saeed Khorram, Li Fuxin
Compensation Sampling for Improved Convergence in Diffusion Models
Hui Lu, Albert Ali Salah, Ronald Poppe
CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents
Qinlin Zhao, Jindong Wang, Yixuan Zhang et al.
CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization
K L Navaneet, Kossar Pourahmadi, Soroush Abbasi Koohpayegani et al.
Complementing Event Streams and RGB Frames for Hand Mesh Reconstruction
Jianping Jiang, xinyu zhou, Bingxuan Wang et al.
Complete and Efficient Graph Transformers for Crystal Material Property Prediction
Keqiang Yan, Cong Fu, Xiaofeng Qian et al.
Completing Visual Objects via Bridging Generation and Segmentation
Xiang Li, Yinpeng Chen, Chung-Ching Lin et al.
Complexity Matters: Feature Learning in the Presence of Spurious Correlations
GuanWen Qiu, Da Kuang, Surbhi Goel
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Jonghyun Lee, Hansam Cho, YoungJoon Yoo et al.
COMPOSE: Comprehensive Portrait Shadow Editing
Andrew Hou, Zhixin Shu, Xuaner Zhang et al.
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
Yiyang Chen, Zhedong Zheng, Wei Ji et al.
Composed Video Retrieval via Enriched Context and Discriminative Embeddings
Omkar Thawakar, Muzammal Naseer, Rao Anwer et al.
Composing Object Relations and Attributes for Image-Text Matching
Khoi Pham, Chuong Huynh, Ser-Nam Lim et al.
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
Rahul Ramesh, Ekdeep Singh Lubana, Mikail Khona et al.
Compositional Chain-of-Thought Prompting for Large Multimodal Models
Chancharik Mitra, Brandon Huang, Trevor Darrell et al.
Compositional Curvature Bounds for Deep Neural Networks
Taha Entesari, Sina Sharifi, Mahyar Fazlyab
Compositional Few-Shot Class-Incremental Learning
Yixiong Zou, Shanghang Zhang, haichen zhou et al.
Compositional Image Decomposition with Diffusion Models
Jocelin Su, Nan Liu, Yanbo Wang et al.
Compositional Preference Models for Aligning LMs
DONGYOUNG GO, Tomek Korbak, Germàn Kruszewski et al.
Compositional Substitutivity of Visual Reasoning for Visual Question Answering
Chuanhao Li, Zhen Li, Chenchen Jing et al.
Compositional Text-to-Image Generation with Dense Blob Representations
Weili Nie, Sifei Liu, Morteza Mardani et al.
Compositional Video Understanding with Spatiotemporal Structure-based Transformers
Hoyeoung Yun, Jinwoo Ahn, Minseo Kim et al.
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector
Xianren Zhang, Dongwon Lee, Suhang Wang
Compress3D: a Compressed Latent Space for 3D Generation from a Single Image
Bowen Zhang, Tianyu Yang, Yu Li et al.
Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach
Zhihao Li, Yufei Wang, Alex Kot et al.
Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis
Simon Niedermayr, Josef Stumpfegger, rüdiger westermann
Compressed Context Memory for Online Language Model Interaction
Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun et al.
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
Can Yaras, Peng Wang, Laura Balzano et al.
Compressing Large Language Models by Joint Sparsification and Quantization
Jinyang Guo, Jianyu Wu, Zining Wang et al.
Compressing Latent Space via Least Volume
Qiuyi Chen, Mark Fuge
Compressing LLMs: The Truth is Rarely Pure and Never Simple
AJAY JAISWAL, Zhe Gan, Xianzhi Du et al.
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
Kevin Kögler, Aleksandr Shevchenko, Hamed Hassani et al.
Compute Better Spent: Replacing Dense Layers with Structured Matrices
Shikai Qiu, Andres Potapczynski, Marc Finzi et al.