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20222026
most citedBFT-DSN: A Byzantine Fault Tolerant Decentralized Storage Network

15 citations · 53 across the 14 of their papers we have counts for

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6 papers · 1 filter

cs.CV202515 cited

D2Fusion: Dual-domain Fusion with Feature Superposition for Deepfake Detection

Xueqi Qiu, Xingyu Miao, Fan Wan +5

Deepfake detection is crucial for curbing the harm it causes to society. However, current Deepfake detection methods fail to thoroughly explore artifact information across differen…

cs.CV20257 cited

Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields

Xingyu Miao, Haoran Duan, Yang Bai +5

In this work, we propose a method that leverages CLIP feature distillation, achieving efficient 3D segmentation through language guidance. Unlike previous methods that rely on mult…

cs.CV2024

Wearable-based behaviour interpolation for semi-supervised human activity recognition

Haoran Duan, Shidong Wang, Varun Ojha +5

While traditional feature engineering for Human Activity Recognition (HAR) involves a trial-anderror process, deep learning has emerged as a preferred method for high-level represe…

cs.CV2024

ExactDreamer: High-Fidelity Text-to-3D Content Creation via Exact Score Matching

Yumin Zhang, Xingyu Miao, Haoran Duan +4

Text-to-3D content creation is a rapidly evolving research area. Given the scarcity of 3D data, current approaches often adapt pre-trained 2D diffusion models for 3D synthesis. Amo…

cs.CV2024

Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching

Xingyu Miao, Haoran Duan, Varun Ojha +4

In this work, we propose a novel Trajectory Score Matching (TSM) method that aims to solve the pseudo ground truth inconsistency problem caused by the accumulated error in Interval…

cs.CV2024

From Sora What We Can See: A Survey of Text-to-Video Generation

Rui Sun, Yumin Zhang, Tejal Shah +6

With impressive achievements made, artificial intelligence is on the path forward to artificial general intelligence. Sora, developed by OpenAI, which is capable of minute-level wo…