Poster Papers
24,624 papers found • Page 383 of 493
Conference
Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models
Huimin Huang, Yawen Huang, Lanfen Lin et al.
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory
Yiting Chen, Zhanpeng Zhou, Junchi Yan
Goldfish: Vision-Language Understanding of Arbitrarily Long Videos
Kirolos Ataallah, Xiaoqian Shen, Eslam mohamed abdelrahman et al.
GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
Oscar Sainz, Iker García-Ferrero, Rodrigo Agerri et al.
GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh
Jing Wen, Xiaoming Zhao, Jason Ren et al.
GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo
Jiang Wu, Rui Li, Haofei Xu et al.
Goodhart's Law in Reinforcement Learning
Jacek Karwowski, Oliver Hayman, Xingjian Bai et al.
GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation
WEIMING ZHANG, Yexin Liu, Xu Zheng et al.
Good Teachers Explain: Explanation-Enhanced Knowledge Distillation
Amin Parchami, Moritz Böhle, Sukrut Rao et al.
GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic Fields
Fangyin Wei, Hanlin Chen, Gim Hee Lee
GPAvatar: Generalizable and Precise Head Avatar from Image(s)
Xuangeng Chu, Yu Li, Ailing Zeng et al.
GPLD3D: Latent Diffusion of 3D Shape Generative Models by Enforcing Geometric and Physical Priors
Yuan Dong, Qi Zuo, Xiaodong Gu et al.
GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding
Changshuo Wang, Meiqing Wu, Siew-Kei Lam et al.
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Youliang Yuan, Wenxiang Jiao, Wenxuan Wang et al.
GPT-4V(ision) is a Generalist Web Agent, if Grounded
Boyuan Zheng, Boyu Gou, Jihyung Kil et al.
GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation
Tong Wu, Guandao Yang, Zhibing Li et al.
GPTSwarm: Language Agents as Optimizable Graphs
Mingchen Zhuge, Wenyi Wang, Louis Kirsch et al.
GRACE: Graph-Based Contextual Debiasing for Fair Visual Question Answering
Yifeng Zhang, Ming Jiang, Qi Zhao
GRA: Detecting Oriented Objects through Group-wise Rotating and Attention
Jiangshan Wang, Yifan Pu, Yizeng Han et al.
Gradient Alignment for Cross-Domain Face Anti-Spoofing
MINH BINH LE, Simon Woo
Gradient-Aware for Class-Imbalanced Semi-supervised Medical Image Segmentation
Wenbo Qi, Jiafei Wu, S. C. Chan
Gradient-based Out-of-Distribution Detection
Taha Entesari, Sina Sharifi, Bardia Safaei et al.
Gradient-based Parameter Selection for Efficient Fine-Tuning
Zhi Zhang, Qizhe Zhang, Zijun Gao et al.
Gradient-based Visual Explanation for Transformer-based CLIP
Chenyang ZHAO, Kun Wang, Xingyu Zeng et al.
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
Ruizhong Qiu, Hanghang Tong
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
Jiangpeng He
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method
Jeeveswaran Kishaan, Elahe Arani, Bahram Zonooz
Gradual Optimization Learning for Conformational Energy Minimization
Artem Tsypin, Leonid A. Ugadiarov, Kuzma Khrabrov et al.
GRAM: Global Reasoning for Multi-Page VQA
Itshak Blau, Sharon Fogel, Roi Ronen et al.
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
Sascha Marton, Stefan Lüdtke, Christian Bartelt et al.
GRAPE: Generalizable and Robust Multi-view Facial Capture
Jing Li, Di Kang, Zhenyu He
Graph2Tac: Online Representation Learning of Formal Math Concepts
Lasse Blaauwbroek, Mirek Olšák, Jason Rute et al.
Graph Adversarial Diffusion Convolution
Songtao Liu, Jinghui Chen, Tianfan Fu et al.
Graph As Point Set
Xiyuan Wang, Pan Li, Muhan Zhang
Graph Attention Retrospective
Kimon Fountoulakis, Amit Levi, Shenghao Yang et al.
Graph Automorphism Group Equivariant Neural Networks
Edward Pearce-Crump, William J. Knottenbelt
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting
Andrea Cini, Danilo Mandic, Cesare Alippi
GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection
Ziying Song, Lei Yang, Shaoqing Xu et al.
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
Pengcheng Jiang, Cao Xiao, Adam Cross et al.
GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks
Peter Müller, Lukas Faber, Karolis Martinkus et al.
GRAPH-CONSTRAINED DIFFUSION FOR END-TO-END PATH PLANNING
DINGYUAN SHI, Yongxin Tong, Zimu Zhou et al.
Graph Distillation with Eigenbasis Matching
Yang Liu, Deyu Bo, Chuan Shi
GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs
Gege Gao, Weiyang Liu, Anpei Chen et al.
Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
Fangru Lin, Emanuele La Malfa, Valentin Hofmann et al.
Graph External Attention Enhanced Transformer
Jianqing Liang, Min Chen, Jiye Liang
Graph Generation with $K^2$-trees
Yunhui Jang, Dongwoo Kim, Sungsoo Ahn
Graph Generation with Diffusion Mixture
Jaehyeong Jo, Dongki Kim, Sung Ju Hwang
Graph Geometry-Preserving Autoencoders
Jungbin Lim, Jihwan Kim, Yonghyeon Lee et al.
Graph Lottery Ticket Automated
Guibin Zhang, Kun Wang, Wei Huang et al.
Graph Mixup on Approximate Gromov–Wasserstein Geodesics
Zhichen Zeng, Ruizhong Qiu, Zhe Xu et al.