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• Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks

  Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen

  2017-02-12

• ViT-Calibrator: Decision Stream Calibration for Vision Transformer

  Lin Chen, Zhijie Jia, Lechao Cheng, Yang Gao, Jie Lei, Yijun Bei, Zunlei Feng

  1147-1155

  2024-03-24

• IndoorUAV: Benchmarking Vision-Language UAV Navigation in Continuous Indoor Environments

  Xu Liu, Yu Liu, Hanshuo Qiu, Yang Qirong, Zhouhui Lian

  23864-23872

  2026-03-14

• Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers

  Bum Jun Kim, Sang Woo Kim

  17840-17849

  2025-04-11

• GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers

  Dahun Choi, Hyun Kim

  16019-16027

  2025-04-11

• Tailored ViT Slimming: Budget-Aware Multi-Dimensional Sparsity Regularization for Vision Transformers Pruning (Student Abstract)

  Suwoong Lee, Seungjae Lee, Yunho Jeon, Junmo Kim

  41255-41257

  2026-03-14

• ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization

  Hao Wang, Fang Liu, Licheng Jiao, Jiahao Wang, Zehua Hao, Shuo Li, Lingling Li, Puhua Chen, Xu Liu

  5390-5400

  2024-03-24

• EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering

  Junjue Wang, Zhuo Zheng, Zihang Chen, Ailong Ma, Yanfei Zhong

  5481-5489

  2024-03-24

• Visual Adversarial Examples Jailbreak Aligned Large Language Models

  Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal

  21527-21536

  2024-03-24

• High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models

  Chunyuan Li, Changyou Chen, Kai Fan, Lawrence Carin

  2016-02-21

• Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework

  Diego Ortego, Marlon Rodríguez, Mario Almagro, Kunal Dahiya, David Jimenez, Juan C. SanMiguel

  24630-24638

  2026-03-14

• Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations

  Xuesong Nie, Yunfeng Yan, Siyuan Li, Cheng Tan, Xi Chen, Haoyuan Jin, Zhihang Zhu, Stan Z. Li, Donglian Qi

  4334-4342

  2024-03-24

• Deformable Part Region Learning for Object Detection

  Seung-Hwan Bae

  95-103

  2022-06-28

• HyperLoad: A Cross-Modality Enhanced Large Language Model-Based Framework for Green Data Center Cooling Load Prediction

  Haoyu Jiang, Boan Qu, Junjie Zhu, Fanjie Zeng, Xiaojie Lin, Wei Zhong

  480-488

  2026-03-14

• HeartLLM: Discretized ECG Tokenization for LLM-Based Diagnostic Reasoning

  Jinning Yang, Wenjie Sun, Wen Shi

  34250-34258

  2026-03-14

• BCWildfire: A Long-term Multi-factor Dataset and Deep Learning Benchmark for Boreal Wildfire Risk Prediction

  Zhengsen Xu, Sibo Cheng, Lanying Wang, Hongjie He, Wentao Sun, Jonathan Li, Lincoln Linlin Xu

  39486-39494

  2026-03-14

• HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation

  Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, Yi Yuan

  2294-2301

  2021-05-18

• Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty

  Thom Badings, Licio Romao, Alessandro Abate, Nils Jansen

  14701-14710

  2023-06-26

• DiffRAW: Leveraging Diffusion Model to Generate DSLR-Comparable Perceptual Quality sRGB from Smartphone RAW Images

  Mingxin Yi, Kai Zhang, Pei Liu, Tanli Zuo, Jingduo Tian

  6711-6719

  2024-03-24

• TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry

  Jiuming Liu, Guangming Wang, Chaokang Jiang, Zhe Liu, Hesheng Wang

  1683-1691

  2023-06-26

• A Robust and Scalable Stacked Ensemble for Day-Ahead Forecasting of Distribution Network Losses

  Gunnar Grotmol, Eivind Hovdegård Furdal, Nisha Dalal, Are Løkken Ottesen, Ella-Lovise Hammervold Rørvik, Martin Mølnå, Gleb Sizov, Odd Erik Gundersen

  15503-15511

  2024-07-15

• FaceShield: Explainable Face Anti-Spoofing with Multimodal Large Language Models

  Hongyang Wang, Yichen Shi, Zhuofu Tao, Yuhao Gao, Liepiao Zhang, Xun Lin, Jun Feng, Xiaochen Yuan, Zitong Yu, Xiaochun Cao

  9811-9819

  2026-03-14

• Learning Compact Model for Large-Scale Multi-Label Data

  Tong Wei, Yu-Feng Li

  5385-5392

  2019-07-17

• Channel Merging: Preserving Specialization for Merged Experts

  Mingyang Zhang, Jing Liu, Ganggui Ding, Linlin Ou, Xinyi Yu, Bohan Zhuang

  22479-22487

  2025-04-11

• Unlearning in Cross-Modal Retrieval via Prior-Prototype Guided Partitioned Dampening

  Yi Lu, Shu Li, Yurong Qian

  7583-7590

  2026-03-14