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Found 12 papers, 3 papers with code
UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces
Large multimodal models exhibit remarkable intelligence, yet their embodied cognitive abilities during motion in open-ended urban 3D space remain to be explored.
Understanding and Evaluating Hallucinations in 3D Visual Language Models
Recently, 3D-LLMs, which combine point-cloud encoders with large models, have been proposed to tackle complex tasks in embodied intelligence and scene understanding.
EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment
To address it, in this paper, we construct a benchmark platform for embodied intelligence evaluation in real-world city environments.
GUI Action Narrator: Where and When Did That Action Take Place?
The advent of Multimodal LLMs has significantly enhanced image OCR recognition capabilities, making GUI automation a viable reality for increasing efficiency in digital tasks.
AssistGUI: Task-Oriented PC Graphical User Interface Automation
Graphical User Interface (GUI) automation holds significant promise for assisting users with complex tasks thereby boosting human productivity.
ASSISTGUI: Task-Oriented Desktop Graphical User Interface Automation
Graphical User Interface (GUI) automation holds significant promise for assisting users with complex tasks, thereby boosting human productivity.
MA-NeRF: Motion-Assisted Neural Radiance Fields for Face Synthesis from Sparse Images
We improve from NeRF and propose a novel framework that, by leveraging the parametric 3DMM models, can reconstruct a high-fidelity drivable face avatar and successfully handle the unseen expressions.
Towards Arbitrary Text-driven Image Manipulation via Space Alignment
Then, the text input can be directly accessed into the StyleGAN space and be used to find the semantic shift according to the text description.
SRDAN: Scale-Aware and Range-Aware Domain Adaptation Network for Cross-Dataset 3D Object Detection
In this work, we propose a new cross-dataset 3D object detection method named Scale-aware and Range-aware Domain Adaptation Network (SRDAN).
Collaborative and Adversarial Network for Unsupervised Domain Adaptation
In this paper, we propose a new unsupervised domain adaptation approach called Collaborative and Adversarial Network (CAN) through domain-collaborative and domain-adversarial training of neural networks.
Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation
The score function is then the dot-product between the image and pose embeddings.
Ranked #336 on
3D Human Pose Estimation
on Human3.6M
Joint Motion Segmentation and Background Estimation in Dynamic Scenes
We derive an EM algorithm for estimating the parameters of the FBM.
