Recent advances in auto-regressive transformers have revolutionized generative modeling across different domains, from language processing to visual generation, demonstrating remarkable capabilities. However, applying these advances to 3D generation...
Human matting is a foundation task in image and video processing, where human foreground pixels are extracted from the input. Prior works either improve the accuracy by additional guidance or improve the temporal consistency of a single instance acro...
Feb 24, 2026 · The masked man seen in doorbell camera video who is suspected of abducting Nancy Guthrie appears to have been at her front door earlier than Feb. 1, the night police believe she was …
Musicians and nonmusicians alike use rhythmic sound gestures, such as tapping and beatboxing, to express drum patterns. While these gestures effectively communicate musical ideas, realizing these ideas as fully-produced drum recordings can be time-co...
Masked Autoencoder (MAE) pre-training of vision transformers (ViTs) yields strong performance in low-label data regimes but comes with substantial computational costs, making it impractical in time- and resource-constrained industrial settings. We ad...
Masked Diffusion Language Models (DLMs) have recently emerged as a promising alternative to traditional Autoregressive Models (ARMs). DLMs employ transformer encoders with bidirectional attention, enabling parallel token generation while maintaining...
This article presents a benchmark study of symbolic piano music classification using the masked language modelling approach of the Bidirectional Encoder Representations from Transformers (BERT). Specifically, we consider two types of MIDI data: MIDI...
Over the last twenty years, there have seen several outbreaks of different coronavirus diseases across the world. These outbreaks often led to respiratory tract diseases and have proved to be fatal sometimes. Currently, we are facing an elusive healt...
Face recognition has become an essential task in our lives. However, the current COVID-19 pandemic has led to the widespread use of face masks. The effect of wearing face masks is currently an understudied issue. The aim of this paper is to analyze f...
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Contemporary face detection algorithms have to deal with many challenges such as variations in pose, illumination, and scale. A subclass of the face detection problem that has recently gained increasing attention is occluded face detection, or more s...
5 days ago · ICE Is Rapidly Expanding Dangerous 287 (g) Agreements With Local Police Rights & Resistance with the ACLU, Mar. 02, 2026 Masked, lawless federal agents have become a symbol of …
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything (⭐ 2466)
Jan 6, 2026 · In the singing competition, celebrities perform against each other in elaborate costumes, concealing their identities. The contestants aim to impress the panelists and misdirect them with their...
This paper proposes a self-supervised approach to learn universal facial representations from videos, that can transfer across a variety of facial analysis tasks such as Facial Attribute Recognition (FAR), Facial Expression Recognition (FER), DeepFak...
BERT is a bidirectional transformer pretrained on unlabeled text to predict masked tokens in a sentence and to predict whether one sentence follows another. The main idea is that by randomly masking …
Rows of the unmarked white vans that masked federal agents use to kidnap New Yorkers sit waiting in a parking garage at Hudson River Park. Hudson River Park Trust—the organization that manages the ...
Rows of the unmarked white vans that masked federal agents use to kidnap New Yorkers sit waiting in a parking garage at Hudson River Park. Hudson River Park Trust—the organization that manages the ...
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Robust segmentation is critical for deriving quantitative measures from large-scale, multi-center, and longitudinal medical scans. Manually annotating medical scans, however, is expensive and labor-intensive and may not always be available in every d...