1 citations · 1 across the 10 of their papers we have counts for
10 papers
ATLAS: Automated Approximation of Transformers for Efficient Homomorphic Inference in One Hour
Jianhang Xie, Sicheng Tan, Vishnu Naresh Boddeti +1
Fully homomorphic encryption (FHE) lets a server run inference on encrypted data with strong privacy guarantees, but running a Transformer under FHE is expensive. Its non-linear op…
QSVideo: Query-Conditioned Semantic Temporal Retrieval for Video Understanding
Wei Ao, Lan Wang, Vishnu Naresh Boddeti
The performance of vision-language models (VLMs) in video understanding declines with increasing video duration, as video moments unrelated to the query confuse their language comp…
Compositional Generative Modeling from Decentralized Data
Mashrur M. Morshed, Vishnu Naresh Boddeti
Learning the compositional nature of the physical world requires joint observation of interacting factors. However, because practical data is often decentralized, these factors are…
Show Me: Unifying Instructional Image and Video Generation with Diffusion Models
Yujiang Pu, Zhanbo Huang, Vishnu Boddeti +1
Generating visual instructions in a given context is essential for developing interactive world simulators. While prior works address this problem through either text-guided image…
InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning
Gautam Sreekumar, Vishnu Naresh Boddeti
Large multimodal models (LMMs) encode physical laws observed during training, such as momentum conservation, as parametric knowledge. It allows LMMs to answer physical reasoning qu…
CryptoFace: End-to-End Encrypted Face Recognition
Wei Ao, Vishnu Naresh Boddeti
Face recognition is central to many authentication, security, and personalized applications. Yet, it suffers from significant privacy risks, particularly arising from unauthorized…
Incorporating Interventional Independence Improves Robustness against Interventional Distribution Shift
Gautam Sreekumar, Vishnu Naresh Boddeti
We study the problem of learning robust discriminative representations of causally related latent variables given the underlying causal graph and a training set comprising passivel…
Rapid prediction of cardiac activation in the left ventricle with geometric deep learning: a step towards cardiac resynchronization therapy planning
Ehsan Naghavi, Haifeng Wang, Vahid Ziaei Rad +5
Cardiac resynchronization therapy (CRT) is a common intervention for patients with dyssynchronous heart failure, yet approximately one-third of recipients fail to respond, partly d…
Shielding Latent Face Representations From Privacy Attacks
Arjun Ramesh Kaushik, Bharat Chandra Yalavarthi, Arun Ross +2
In today's data-driven analytics landscape, deep learning has become a powerful tool, with latent representations, known as embeddings, playing a central role in several applicatio…
SEAL: Semantic Attention Learning for Long Video Representation
Lan Wang, Yujia Chen, Du Tran +2
Long video understanding presents challenges due to the inherent high computational complexity and redundant temporal information. An effective representation for long videos must…