Trending Research
CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
thudm/cogvideo
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To improve the text-video alignment, we propose an expert transformer with the expert adaptive LayerNorm to facilitate the deep fusion between the two modalities.
SGLang: Efficient Execution of Structured Language Model Programs
SGLang consists of a frontend language and a runtime.
MemLong: Memory-Augmented Retrieval for Long Text Modeling
This work introduces MemLong: Memory-Augmented Retrieval for Long Text Generation, a method designed to enhance the capabilities of long-context language modeling by utilizing an external retriever for historical information retrieval.
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
showlab/show-o
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We present a unified transformer, i. e., Show-o, that unifies multimodal understanding and generation.
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
The fusion of both visual and LiDAR measurements is based on a single unified voxel map where the LiDAR module constructs the geometric structure for registering new LiDAR scans and the visual module attaches image patches to the LiDAR points.
OxfordVGG Submission to the EGO4D AV Transcription Challenge
m-bain/whisperx
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This report presents the technical details of our submission on the EGO4D Audio-Visual (AV) Automatic Speech Recognition Challenge 2023 from the OxfordVGG team.
Open-Set Biometrics: Beyond Good Closed-Set Models
Biometric recognition has primarily addressed closed-set identification, assuming all probe subjects are in the gallery.
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
Insect production for food and feed presents a promising supplement to ensure food safety and address the adverse impacts of agriculture on climate and environment in the future.
Explainable Person Re-Identification with Attribute-guided Metric Distillation
SheldongChen/AMD.github.io
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ICCV 2021
In this paper, we propose a post-hoc method, named Attribute-guided Metric Distillation (AMD), to explain existing ReID models.
Ranked #44 on
Person Re-Identification
on DukeMTMC-reID
DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving
This paper presented DriveArena, the first high-fidelity closed-loop simulation system designed for driving agents navigating in real scenarios.
