Papers
TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation
Zhidong Yu, Wei Yang, Xike Xie et al.
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence
Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen et al.
TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning
Jiexi Liu, Songcan Chen
TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training
Chaoya Jiang, Wei Ye, Haiyang Xu et al.
TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities
Zheyu Zhang, Gang Yang, Yueyi Zhang et al.
TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization
Andrei Ivanov, Stefan Ailuro
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking
Pratheeksha Nair, Javin Liu, Catalina Vajiac et al.
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
Yuequn Liu, Ruichu Cai, Wei Chen et al.
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition
Qianrui Zhou, Hua Xu, Hao Li et al.
To Know the Causes of Things: Text Mining for Causal Relations
Fiona Anting Tan
Tools Identification By On-Board Adaptation of Vision-and-Language Models
Jun Hu, Phil Miller, Michael Lomnitz et al.
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation
YoungJoon Yoo, JongWon Choi
TopoGCL: Topological Graph Contrastive Learning
Yuzhou Chen, Jose Frias, Yulia R. Gel
Topological and Node Noise Filtering on 3D Meshes Using Graph Neural Networks (Student Abstract)
Vladimir Mashurov, Natalia Semenova
TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation
Yuhao Wang, Xuehu Liu, Pingping Zhang et al.
Toward More Generalized Malicious URL Detection Models
Yun-Da Tsai, Cayon Liow, Yin Sheng Siang et al.
Toward Open-Set Human Object Interaction Detection
Mingrui Wu, Yuqi Liu, Jiayi Ji et al.
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise
Hwanjun Song, Minseok Kim, Jae-Gil Lee
Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation
Zhen Zhang, Junfeng Yang, Limei Liu et al.
Towards a Transformer-Based Reverse Dictionary Model for Quality Estimation of Definitions (Student Abstract)
Julien Guité-Vinet, Alexandre Blondin Massé, Fatiha Sadat
Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset
Haolong Li, Chenghao Du, Ziheng Jiang et al.
Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning
Chen Bai, Jianwang Zhai, Yuzhe Ma et al.
Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in Education
Zijie Zeng, Lele Sha, Yuheng Li et al.
Towards Balanced Alignment: Modal-Enhanced Semantic Modeling for Video Moment Retrieval
Zhihang Liu, Jun Li, Hongtao Xie et al.