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Pulse · marktechpost.com

marktechpost.com · Nov 14

Stanford Research Open-Sources Memorilla, a Latent Memory Module for Frozen LLMs

Pulse · techtimes.com

techtimes.com · Nov 14

Baidu Pledges Apache License for ERNIE 5.5 AI Weights Due This Month; Base Model Bars EU, UK

ERNIE 5.5 open weights face an unsettled license: Baidu’s product page pledges Apache 2.0 for the Preview model, yet its release names no license and sets a Nov. 25 deadline, while the Base model bars the EU, UK and South Korea. Developers also weigh Chinese state-access law and unverified Token

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arXiv

Nov 12

Back to Pixels: Lifting Latent Video Diffusion into Pixel Space

Frontier video generation models work in a VAE latent space that compresses video in both space and time. This compression made training tractable, but now limits high-resolution, controllable, and interactive generation -- doubling resolution quadruples token count, conditions apply to groups of frames rather than individual ones, and each response must wait for the rest of its multi-frame block. We present PixVid, a simple yet effective method that lifts a pretrained latent video model to directly generate every frame in pixel space. PixVid keeps the diffusion transformer and replaces the VAE decoder with a convolutional head that renders its outputs into pixels. We find that predicting clean video rather than velocity, together with a larger noise shift, is key to quality. Finetuned from Wan2.1-14B, PixVid is competitive with the latent baseline within $\sim 1.3$M training clips. Working framewise in pixels, it generates at $2\times$ higher resolution with the same per-frame token count, keeps depth-conditioned video editing aligned under fast motion, and responds to each action at the next frame. Project page: https://chenshuo20.github.io/PixVid/

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arXiv

Nov 8

Selective Surgical Action-Center Localization:Retaining Localization Gains through Supervised Scoring

Surgical action-center localization requires both an accurate reference point and a decision about whether to report it. When frames with and without a reportable center are mixed, the benefit of improved localization depends on which correct candidates survive selection. We…

arXiv

Nov 8

Confidence-driven adaptive semantic transmission for task-oriented communication

Image-based remote monitoring over wireless networks faces a trade-off between communication cost and classification reliability. Transmitting complete images is communication-intensive, whereas relying solely on lightweight edge classifiers may compromise accuracy. To address…

arXiv

Nov 8

CrossLiDAR: Controllable Multi-Sensor LiDAR Sequence Generation

High-fidelity LiDAR simulation remains a bottleneck for scalable development and validation of autonomous systems. Existing generators can synthesize realistic scans, but they are typically constrained to a single sensor configuration, offer limited control over structure and…

arXiv

Nov 8

LongCap: Hour-Scale Timestamped Audio Captioning via Chunk-wise Processing

Describing hours of audio requires accurate event timing and sustained descriptive detail throughout the recording. We present LongCap, a framework for timestamped audio captioning (TAC), with the human-annotated LongCapBench and three diarization-inspired metrics: Timeline…

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