Posts by Collection

arblogs

Augmented Reality and User Perspective Rendering

5 minute read

Published:

Till the last week, the AR application, that we developed consisted of face detection in 2D along with AR object rendering in parallel. However, there was no interaction between the two separate applications because of communication issues between unity and android.

User Perspective Rendering approaches

3 minute read

Published:

The app that was required to be constructed was highly responsive and susceptible to even the small movements of the head. The movements of the augmented object was not proper and was highly irregular, hence, I made the movements regular so that it is perceptible and more concrete.

hatespeechblogs

Annotation Idea Guidelines

2 minute read

Published:

With the emergence of a variety of social media platforms, and the freedom to express one’s thought, sadly, there is a lot of hateful content available on social media. Some platforms like Twitter filter out any posts which involve abusive and highly provocative language. However, Gab is a platform where freedom of speech is retained. Thus, hate content can be easily found on Gab. It becomes important to analyze the data, posts and comments. Hate Speech detection thus, plays an important role in identifying any kind of trend, troll, threat, etc:

Annotation Guidelines Refinement

2 minute read

Published:

To concretely define and come up with the approach for classification, it is required to think of the best architecture and techniques so as to beat the state of the art. Hence, I explored a lot of literature regarding the same which concerns with the newest approaches. Hence, I read the following papers :

icarcnr

Literature Survey on Adversarial Attacks and their defense

9 minute read

Published:

With the coming up of so many applications on which deep learning is proving to be impactful with high accuracies and precision. it is important to ensure it’s safety and security against adversarial attacks. It has been observed that deep neural networks are susceptible to adversarial attacks even in the form of small perturbations which are not conceivable by humans. My literature survey on this topic consists of the following papers and their details :

Nazi Element Classification

1 minute read

Published:

The task of last week was to make a dataset for nazism element detection. I was provided with the positive examples, and I had to generate the negative ones. The initial given dataset consisted of around 2800 images in total belonging to various categories like :

  • 88_heil_hitler
  • nazi_eagle
  • nazi_swastikas
  • blut_und_ehre
  • nazi_flags
  • nazi_tattoo
  • crossed_grenade_emblem_nazism
  • nazi_parade
  • schwarze_sonne
  • hitler_salute
  • nazi_party
  • sieg_heil
  • meine_ehre_heisst_treue
  • nazi_propaganda
  • ss_death’s_head
  • nazi_bolts
  • nazi_rally
  • ss_iron_crosses

nvs

Novel View Synthesis for human drawn sketches

1 minute read

Published:

Till now, I researched through a lot of papers and were working with autoencoders to transform the canny edge images from one viewpoint to the other. This approach however doesn’t work on doodle based very lowly abstracted sketches which are more commonly drawn by humans. We tried cyclegan for this approach where we could get the required abstraction to the canny images, however, that approach didn’t give any fruitful results.

portfolio

Hate Speech Degree Detection on English Data - Blog Post 1

Published:

Hate Speech Degree Detection on English Data

With the emergence of a variety of social media platforms, and the freedom to express one’s thought, sadly, there is a lot of hateful content available on social media. Some platforms like Twitter filter out any posts which involve abusive and highly provocative language. However, Gab is a platform where freedom of speech is retained. Thus, hate content can be easily found on Gab. It becomes important to analyze the data, posts and comments. Hate Speech detection thus, plays an important role in identifying any kind of trend, troll, threat, etc:

publications

talks

Talk 1 on Relevant Topic in Your Field

Published in UC San Francisco, Department of Testing, 2012

This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!

teaching

Teaching experience 1

Published in University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Published in University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.