Search Results for author: Sagnik Majumder

Found 12 papers, 4 papers with code

Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations

no code implementations4 Jan 2023 Sagnik Majumder, Hao Jiang, Pierre Moulon, Ethan Henderson, Paul Calamia, Kristen Grauman, Vamsi Krishna Ithapu

Can conversational videos captured from multiple egocentric viewpoints reveal the map of a scene in a cost-efficient way?

Few-Shot Audio-Visual Learning of Environment Acoustics

no code implementations8 Jun 2022 Sagnik Majumder, Changan Chen, Ziad Al-Halah, Kristen Grauman

Room impulse response (RIR) functions capture how the surrounding physical environment transforms the sounds heard by a listener, with implications for various applications in AR, VR, and robotics.

audio-visual learning

Active Audio-Visual Separation of Dynamic Sound Sources

no code implementations2 Feb 2022 Sagnik Majumder, Kristen Grauman

We explore active audio-visual separation for dynamic sound sources, where an embodied agent moves intelligently in a 3D environment to continuously isolate the time-varying audio stream being emitted by an object of interest.

Move2Hear: Active Audio-Visual Source Separation

no code implementations ICCV 2021 Sagnik Majumder, Ziad Al-Halah, Kristen Grauman

We introduce the active audio-visual source separation problem, where an agent must move intelligently in order to better isolate the sounds coming from an object of interest in its environment.

Audio Source Separation

Model Agnostic Answer Reranking System for Adversarial Question Answering

no code implementations EACL 2021 Sagnik Majumder, Chinmoy Samant, Greg Durrett

While numerous methods have been proposed as defenses against adversarial examples in question answering (QA), these techniques are often model specific, require retraining of the model, and give only marginal improvements in performance over vanilla models.

Question Answering

Learning to Set Waypoints for Audio-Visual Navigation

1 code implementation ICLR 2021 Changan Chen, Sagnik Majumder, Ziad Al-Halah, Ruohan Gao, Santhosh Kumar Ramakrishnan, Kristen Grauman

In audio-visual navigation, an agent intelligently travels through a complex, unmapped 3D environment using both sights and sounds to find a sound source (e. g., a phone ringing in another room).

Visual Navigation

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?

no code implementations26 Aug 2019 Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh

We present an analysis of predictive uncertainty based out-of-distribution detection for different approaches to estimate various models' epistemic uncertainty and contrast it with extreme value theory based open set recognition.

Open Set Learning Out-of-Distribution Detection

Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

3 code implementations28 May 2019 Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Yongwon Hong, Visvanathan Ramesh

Modern deep neural networks are well known to be brittle in the face of unknown data instances and recognition of the latter remains a challenge.

Audio Classification Bayesian Inference +3

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