Feilong Tang
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
Bibliography
2025
SAM-DCE: Addressing Token Uniformity and Semantic Over-Smoothing in Medical Segmentation.
CoRR, September, 2025
Neighbor-Guided Unbiased Framework for Generalized Category Discovery in Medical Image Classification.
IEEE J. Biomed. Health Informatics, August, 2025
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers.
CoRR, August, 2025
CoRR, August, 2025
NEARL-CLIP: Interacted Query Adaptation with Orthogonal Regularization for Medical Vision-Language Understanding.
CoRR, August, 2025
DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening.
CoRR, August, 2025
CoRR, August, 2025
CoRR, August, 2025
MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models.
CoRR, July, 2025
Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning.
CoRR, June, 2025
CoRR, June, 2025
CoRR, June, 2025
Confidence-Aware Self-Distillation for Multimodal Sentiment Analysis with Incomplete Modalities.
CoRR, June, 2025
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification.
CoRR, May, 2025
TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification.
CoRR, May, 2025
Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery.
CoRR, May, 2025
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding.
CoRR, May, 2025
CoRR, April, 2025
CoRR, March, 2025
CoRR, March, 2025
Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer.
CoRR, March, 2025
Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form Conversations.
CoRR, January, 2025
Beyond Words: AuralLLM and SignMST-C for Precise Sign Language Production and Bidirectional Accessibility.
CoRR, January, 2025
Identification of Maize Diseases Based on Dynamic Convolution and Tri-Attention Mechanism.
IEEE Access, 2025
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form Conversations.
Proceedings of the IEEE International Conference on Advanced Visual and Signal-Based Systems, 2025
MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
CoRR, 2024
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining.
CoRR, 2024
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation.
CoRR, 2024
Discriminating retinal microvascular and neuronal differences related to migraines: Deep Learning based Crossectional Study.
CoRR, 2024
Diffusion Model Driven Test-Time Image Adaptation for Robust Skin Lesion Classification.
CoRR, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding.
Proceedings of the Computer Vision - ECCV 2024, 2024
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
2022
CoRR, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022