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282445510 | 2409.20018 | 2024-09-30 | Visual Context Window Extension: A New Perspective for Long Video Understanding | Large Multimodal Models (LMMs) have demonstrated impressive performance in short video understanding tasks but face great challenges when applied to long video understanding. In contrast, Large Language Models (LLMs) exhibit outstanding capabilities in modeling long texts. Existing work attempts to address this issue b... | [
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272987724 | 2409.19901 | 2024-09-30 | SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network | Survival analysis plays a crucial role in estimating the likelihood of future events for patients by modeling time-to-event data, particularly in healthcare settings where predictions about outcomes such as death and disease recurrence are essential. However, this analysis poses challenges due to the presence of censor... | [
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273022509 | 2410.00266 | 2024-09-30 | Class-Agnostic Visio-Temporal Scene Sketch Semantic Segmentation | Scene sketch semantic segmentation is a crucial task for various applications including sketch-to-image retrieval and scene understanding. Existing sketch segmentation methods treat sketches as bitmap images, leading to the loss of temporal order among strokes due to the shift from vector to image format. Moreover, the... | [
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272987030 | 2409.20255 | 2024-09-30 | PerCo (SD): Open Perceptual Compression | We introduce PerCo (SD), a perceptual image compression method based on Stable Diffusion v2.1, targeting the ultra-low bit range. PerCo (SD) serves as an open and competitive alternative to the state-of-the-art method PerCo, which relies on a proprietary variant of GLIDE and remains closed to the public. In this work, ... | [
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272987601 | 2409.20428 | 2024-09-30 | Decoding the Echoes of Vision from fMRI: Memory Disentangling for Past Semantic Information | The human visual system is capable of processing continuous streams of visual information, but how the brain encodes and retrieves recent visual memories during continuous visual processing remains unexplored. This study investigates the capacity of working memory to retain past information under continuous visual stim... | [
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272987502 | 2409.20147 | 2024-09-30 | Classification of Radiological Text in Small and Imbalanced Datasets in a Non-English Language | Natural language processing (NLP) in the medical domain can underperform in real-world applications involving small datasets in a non-English language with few labeled samples and imbalanced classes. There is yet no consensus on how to approach this problem. We evaluated a set of NLP models including BERT-like transfor... | [
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272986695 | 2409.19961 | 2024-09-30 | Multimodal LLM Enhanced Cross-lingual Cross-modal Retrieval | Cross-lingual cross-modal retrieval (CCR) aims to retrieve visually relevant content based on non-English queries, without relying on human-labeled cross-modal data pairs during training. One popular approach involves utilizing machine translation (MT) to create pseudo-parallel data pairs, establishing correspondence b... | [
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