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- Xiaoou TangSuggested from co-authorship
- Xuelong LiSuggested from co-authorship
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Works27 from public data
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- Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification158
This work introduces multiview vector-valued manifold regularization (MV3MR), which exploits the complementary property of different features and discovers the intrinsic local geometry of the compact support shared by different features under the theme of manifoldRegularization.
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- Multivariate Multilinear Regression58
An in-depth investigation to the USP in PCR is adopted, which answers three questions: why is USP produced, what is the condition for USP, and how is the influence of USP on regression.
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- Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models20
This work introduces HR-Bench, the first deliberately designed benchmark to rigorously evaluate MLLM performance on 4K & 8K images, and proposes Divide, Conquer and Combine, a novel training-free framework for enhancing MLLM perception of HR images.
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- Temporal Feature Matters: A Framework for Diffusion Model Quantization9
This work introduces a novel quantization framework that includes a novel quantization framework that preserves most of the temporal information and ensures high-quality end-to-end generation of diffusion models.
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- Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning3
Comprehensive experiments on downstream point cloud tasks and ablation studies demonstrate that the SD model can enhance point cloud self-supervised learning.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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