Search Results for author: Chuhan Zhang

Found 12 papers, 2 papers with code

ReSpark: Leveraging Previous Data Reports as References to Generate New Reports with LLMs

no code implementations4 Feb 2025 Yuan Tian, Chuhan Zhang, Xiaotong Wang, Sitong Pan, Weiwei Cui, Haidong Zhang, Dazhen Deng, Yingcai Wu

Creating data reports is time-consuming, as it requires iterative exploration and understanding of data, followed by summarizing the insights.

Text Generation

SpikingSoft: A Spiking Neuron Controller for Bio-inspired Locomotion with Soft Snake Robots

no code implementations31 Jan 2025 Chuhan Zhang, Cong Wang, Wei Pan, Cosimo Della Santina

Inspired by the dynamic coupling of moto-neurons and physical elasticity in animals, this work explores the possibility of generating locomotion gaits by utilizing physical oscillations in a soft snake by means of a low-level spiking neural mechanism.

reinforcement-learning Reinforcement Learning

Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings

1 code implementation25 Apr 2024 Olivia Wiles, Chuhan Zhang, Isabela Albuquerque, Ivana Kajić, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Chris Knutsen, Cyrus Rashtchian, Jordi Pont-Tuset, Aida Nematzadeh

Human-rated prompt sets are generally small and the reliability of the ratings -- and thereby the prompt set used to compare models -- is not evaluated.

NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification

no code implementations9 Dec 2023 Chuhan Zhang, Wei Pan, Cosimo Della Santina

Motor imagery, an important category in electroencephalogram (EEG) research, often intersects with scenarios demanding low energy consumption, such as portable medical devices and isolated environment operations.

EEG Motor Imagery

Helping Hands: An Object-Aware Ego-Centric Video Recognition Model

1 code implementation ICCV 2023 Chuhan Zhang, Ankush Gupta, Andrew Zisserman

We demonstrate the performance of the object-aware representations learnt by our model, by: (i) evaluating it for strong transfer, i. e. through zero-shot testing, on a number of downstream video-text retrieval and classification benchmarks; and (ii) by using the representations learned as input for long-term video understanding tasks (e. g. Episodic Memory in Ego4D).

Decoder Object +4

Is an Object-Centric Video Representation Beneficial for Transfer?

no code implementations20 Jul 2022 Chuhan Zhang, Ankush Gupta, Andrew Zisserman

The model learns a set of object-centric summary vectors for the video, and uses these vectors to fuse the visual and spatio-temporal trajectory 'modalities' of the video clip.

Action Classification Object +1

Temporal Query Networks for Fine-grained Video Understanding

no code implementations CVPR 2021 Chuhan Zhang, Ankush Gupta, Andrew Zisserman

It attends to relevant segments for each query with a temporal attention mechanism, and can be trained using only the labels for each query.

Action Classification Action Recognition +1

Adaptive Text Recognition through Visual Matching

no code implementations ECCV 2020 Chuhan Zhang, Ankush Gupta, Andrew Zisserman

In this work, our objective is to address the problems of generalization and flexibility for text recognition in documents.

Representation Learning

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