Venue: RBCDSAI DAI 2023 Conference

Reviews:

final_score: rating: 3: Accept 
review_content: summary: The paper presents a simple method to integrate two different types of features for the task of emotion detection in human faces. 
strengths: -> The idea proposed is simple and sound
-> The model has been validated on a real world dataset

weaknesses: -> I think equation (1) is typeset incorrectly. The summation I assume runs from 1 to W -> this is simply the average of the pixel intensities in the region of interest. This can be corrected in the final draft.

-> The authors mention using deep networks but only use 2 hidden layers, which is perhaps not deep. Have they tried out increasing the number of layers to observe the performance?
review_title: null

final_score: rating: 4: Accept (candidate for best article)
review_content: summary: The authors present their early results on fusing multimodal information for emotion recognition.
strengths: - As the authors mention, this article summarizes some promising results for including multimodal context in emotion recognition.
- The authors also identify the importance of early fusion. 

weaknesses: The article could benefit by clarifying the following points. 

- The usage of variable $x$ in eq (1) is ambiguous. Is the $x$ in $\sum x$ the x coordinate of the pixel. 
- Is it not clear what $1^W$ represents in eq(1). 
- The authors have not described how the landmark points $L_i$  are obtained.
-  In eq (5), it is not clear why the permutation $\pi$ is required for computing the expected value of the model score. Should it be $E_\pi [f (X(i))]$ or simply $E [f (X(i))]$
review_title: null

Meta-review: Thank you for submitting your work to the Deployable AI conference, which is jointly organized by the Center for Responsible AI (CeRAI) & Robert Bosch Center for Deployable AI (RBC-DSAI), IIT Madras, Aalto University, University of Helsinki, University of Jyväskylä, and Oulu University.

We are pleased to inform you that your article is accepted. We invite you to give a short presentation on your work during the conference as a Spotlight talk. The talks are 15-minutes long and you can create slides to showcase the work. Please see the abstract reviews at the end of this email and consider the reviewer feedback when preparing your presentation. 

Your spotlight talk is scheduled on 05.06.2023 13.45 – 14.00 EET (16.15 - 16.30 IST).

All presenting authors must register for the conference – please do so ASAP if you haven’t already. For more information and registration, please visit the conference page: https://rbcdsai.iitm.ac.in/DAI-2023/index.html.

Please also ensure that all authors have their profiles on openreview. 

Further details on the zoom links to present your talk will be sent out soon. 
Decision: Accept (Oral Presentation)