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Found 9 papers, 1 papers with code
Exploring the GLIDE model for Human Action Effect Prediction
GLIDE is a generative neural network that can synthesize (inpaint) masked areas of an image, conditioned on a short piece of text.
Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark
We analyze GPT's spatial reasoning performance on the rectified benchmark, identifying proficiency in mapping natural language text to spatial relations but limitations in multi-hop reasoning.
Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task
While several previous studies have devised methods for segmentation of polyps, most of these methods are not rigorously assessed on multi-center datasets.
3D shape reconstruction of semi-transparent worms
3D shape reconstruction typically requires identifying object features or textures in multiple images of a subject.
Talking Head from Speech Audio using a Pre-trained Image Generator
We train a recurrent neural network to map from speech utterances to displacements in the latent space of the image generator.
Exploring the GLIDE model for Human Action-effect Prediction
GLIDE is a generative neural network that can synthesize (inpaint) masked areas of an image, conditioned on a short piece of text.
O2A: One-shot Observational learning with Action vectors
The distance between the action vectors from the observed third-person demonstration and trial robot executions is used as a reward for reinforcement learning of the demonstrated task.
CLAD: A Complex and Long Activities Dataset with Rich Crowdsourced Annotations
This paper introduces a novel activity dataset which exhibits real-life and diverse scenarios of complex, temporally-extended human activities and actions.
Natural Language Grounding and Grammar Induction for Robotic Manipulation Commands
This is achieved by first learning a set of visual {`}concepts{'} that abstract the visual feature spaces into concepts that have human-level meaning.
