Papers
4,184 papers found
Generalized Geometry Encoding Volume for Real-time Stereo Matching
Jiaxin Liu, Gangwei Xu, Xianqi Wang et al.
Neural Outline Cache for Real-time Anti-aliasing Font Rendering
Jiashuaizi Mo, Sang-Woon Jeon, Hua Wang et al.
TR-DQ: Time-Rotation Diffusion Quantization
Yihua Shao, Deyang Lin, Minxi Yan et al.
SNS-Grasp: Semantic-guided Noise Scaling for Grasp Generation
Zhenhua Tang, Yudian Zheng, Yuzhang Zhong et al.
RTGaze: Real-Time 3D-Aware Gaze Redirection from a Single Image
Hengfei Wang, Zhongqun Zhang, Yihua Cheng et al.
TIME: Temporal-Sensitive Multi-Dimensional Instruction Tuning and Robust Benchmarking for Video-LLMs
Yunxiao Wang, Meng Liu, Wenqi Liu et al.
Explainable Synthetic Image Detection Through Diffusion Timestep Ensembling
Yixin Wu, Feiran Zhang, Tianyuan Shi et al.
Real-time 3D Object Detection with Inference-Aligned Learning
Chenyu Zhao, Xianwei Zheng, Zimin Xia et al.
Temporal Calibrating and Distilling for Scene-Text Aware Text-Video Retrieval
Zhiqian Zhao, Liang Li, Lei Shen et al.
Cubing for Tuning
Haoze Wu, Clark Barrett, Nina Narodytska
FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs
Chao Li, Runshuo Liu, Zhongying Zhao et al.
APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift
Yujie Li, Zezhi Shao, Chengqing Yu et al.
GT-SNT: A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization
Huizhe Zhang, Jintang Li, Yuchang Zhu et al.
CoS: Towards Optimal Event Scheduling via Chain-of-Scheduling
Yiming Zhao, Jiwei Tang, Shimin Di et al.
Inference Scaling Law for Retrieval Augmented Generation
Shu Zhou, Yuxuan Ao, Yunyang Xuan et al.
Sequential Selling with Sunk Cost Bias
Yasushi Kawase, Tomohiro Nakayoshi
Covariance Scattering Transforms
Andrea Cavallo, Ayushman Raghuvanshi, Sundeep Prabhakar Chepuri et al.
Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size?
Xuanyu Chen, Nan Yang, Shuai Wang et al.
Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies
Ibrahim Delibasoglu, Sanjay Chakraborty, Fredrik Heintz et al.
SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting
Hang Ding, Xue Wang, Tian Zhou et al.
Learning Time in Static Classifiers
Xi Ding, Lei Wang, Piotr Koniusz et al.
Goal-Oriented Time-Series Forecasting: Foundation Framework Design
Luca-Andrei Fechete, Mohamed Sana, Fadhel Ayed et al.
Harnessing Vision-Language Models for Time Series Anomaly Detection
Zelin He, Sarah Alnegheimish, Matthew Reimherr
Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation
Qian Hong, Cheng Bian, Xiao Zhou et al.
Harmonic Dataset Distillation for Time Series Forecasting
Seungha Hong, Sanghwan Jang, Wonbin Kweon et al.