不足的东西
发表于 2025-3-25 06:05:19
Reiner Wichert,Birgid Eberhardt controllable LiDAR data generation is urgently needed, controlling with text is a common practice, but there is little research in this field. To this end, we propose Text2LiDAR, the first efficient, diverse, and text-controllable LiDAR data generation model. Specifically, we design an equirectangu
Evacuate
发表于 2025-3-25 09:07:06
Advanced Technologies and Societal Changeploiting the benefits of RGB images in the existing vision-based joint perception and prediction (PnP) networks is limited in the perception stage, we delve into how the explicit utilization of the visual semantics in motion forecasting can enhance its performance. Specifically, this work proposes .
眨眼
发表于 2025-3-25 11:49:14
Thomas Linner,Bernhard Ellmann,Thomas Bocking-based techniques for image compression and analysis. Previous studies often require training separate codecs to support various bitrate levels, machine tasks, and networks, thus lacking both flexibility and practicality. To address these challenges, we propose a rate-distortion-cognition control
迫击炮
发表于 2025-3-25 18:56:09
0302-9743 reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation..978-3-031-72991-1978-3-031-72992-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
jet-lag
发表于 2025-3-25 21:05:48
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Unsaturated-Fat
发表于 2025-3-26 03:55:13
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Herd-Immunity
发表于 2025-3-26 06:26:02
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Anal-Canal
发表于 2025-3-26 11:22:26
0302-9743 ce on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024...The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; r
CAMP
发表于 2025-3-26 15:29:10
Conference proceedings 2025uter Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024...The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforceme
STAT
发表于 2025-3-26 18:33:24
https://doi.org/10.1007/1-4020-2597-1o capture the contextual information beyond one single sentence. We further prompt the LLM to generate timestamps for each produced caption based on the timestamps of the subtitles and finally align the generated captions to the video temporally. In this way, we obtain human-style video captions at