33 citations · 45 across the 13 of their papers we have counts for
19 papers
CPPO: Contrastive Perception Policy Optimization for VLM Agents
Ahmad Rezaei, Mohsen Gholami, Saeed Ranjbar Alvar +5
We introduce CPPO, a Contrastive Perception Policy Optimization method for finetuning vision--language models (VLMs). Reliable perception is a core requirement for VLM-based agents…
From Segments to Scenes: Temporal Understanding for Agentic Autonomous Driving via Vision-Language Models
Kevin Cannons, Saeed Ranjbar Alvar, Mohammad Asiful Hossain +6
Vision-Language Models (VLMs) are increasingly deployed as the perception and reasoning backbone of autonomous agents acting in the wild, with autonomous driving (AD) being one of…
DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
Saeed Ranjbar Alvar, Gursimran Singh, Mohammad Akbari +1
Large Multimodal Models (LMMs) have emerged as powerful models capable of understanding various data modalities, including text, images, and videos. LMMs encode both text and visua…
LaWa: Using Latent Space for In-Generation Image Watermarking
Ahmad Rezaei, Mohammad Akbari, Saeed Ranjbar Alvar +2
With generative models producing high quality images that are indistinguishable from real ones, there is growing concern regarding the malicious usage of AI-generated images. Imper…
Compressive Feature Selection for Remote Visual Multi-Task Inference
Saeed Ranjbar Alvar, Ivan V. Bajić
Deep models produce a number of features in each internal layer. A key problem in applications such as feature compression for remote inference is determining how important each fe…
AMUSE: Adaptive Multi-Segment Encoding for Dataset Watermarking
Saeed Ranjbar Alvar, Mohammad Akbari, David Ming Xuan Yue +1
Curating high quality datasets that play a key role in the emergence of new AI applications requires considerable time, money, and computational resources. So, effective ownership…
License Plate Privacy in Collaborative Visual Analysis of Traffic Scenes
Saeed Ranjbar Alvar, Korcan Uyanik, Ivan V. Bajić
Traffic scene analysis is important for emerging technologies such as smart traffic management and autonomous vehicles. However, such analysis also poses potential privacy threats.…
Joint Image Compression and Denoising via Latent-Space Scalability
Saeed Ranjbar Alvar, Mateen Ulhaq, Hyomin Choi +1
When it comes to image compression in digital cameras, denoising is traditionally performed prior to compression. However, there are applications where image noise may be necessary…
Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation
Saeed Ranjbar Alvar, Lanjun Wang, Jian Pei +1
Image-to-image translation models are shown to be vulnerable to the Membership Inference Attack (MIA), in which the adversary's goal is to identify whether a sample is used to trai…
Practical Noise Simulation for RGB Images
Saeed Ranjbar Alvar, Ivan V. Bajić
This document describes a noise generator that simulates realistic noise found in smartphone cameras. The generator simulates Poissonian-Gaussian noise whose parameters have been e…
Pareto-Optimal Bit Allocation for Collaborative Intelligence
Saeed Ranjbar Alvar, Ivan V. Bajić
In recent studies, collaborative intelligence (CI) has emerged as a promising framework for deployment of Artificial Intelligence (AI)-based services on mobile/edge devices. In CI,…
Bit Allocation for Multi-Task Collaborative Intelligence
Saeed Ranjbar Alvar, Ivan V. Bajić
Recent studies have shown that collaborative intelligence (CI) is a promising framework for deployment of Artificial Intelligence (AI)-based services on mobile devices. In CI, a de…
FDDB-360: Face Detection in 360-degree Fisheye Images
Jianglin Fu, Saeed Ranjbar Alvar, Ivan V. Bajic +1
360-degree cameras offer the possibility to cover a large area, for example an entire room, without using multiple distributed vision sensors. However, geometric distortions introd…
Multi-task learning with compressible features for Collaborative Intelligence
Saeed Ranjbar Alvar, Ivan V. Bajić
A promising way to deploy Artificial Intelligence (AI)-based services on mobile devices is to run a part of the AI model (a deep neural network) on the mobile itself, and the rest…
MV-YOLO: Motion Vector-aided Tracking by Semantic Object Detection
Saeed Ranjbar Alvar, Ivan V. Bajić
Object tracking is the cornerstone of many visual analytics systems. While considerable progress has been made in this area in recent years, robust, efficient, and accurate trackin…
Can you find a face in a HEVC bitstream?
Saeed Ranjbar Alvar, Hyomin Choi, Ivan V. Bajic
Finding faces in images is one of the most important tasks in computer vision, with applications in biometrics, surveillance, human-computer interaction, and other areas. In our ea…
Can you tell a face from a HEVC bitstream?
Saeed Ranjbar Alvar, Hyomin Choi, Ivan V. Bajic
Image and video analytics are being increasingly used on a massive scale. Not only is the amount of data growing, but the complexity of the data processing pipelines is also increa…
Lossless Intra Coding in HEVC with Adaptive 3-tap Filters
Saeed Ranjbar Alvar, Fatih Kamisli
In pixel-by-pixel spatial prediction methods for lossless intra coding, the prediction is obtained by a weighted sum of neighbouring pixels. The proposed prediction approach in thi…
Lossless Intra Coding in HEVC with 3-tap Filters
Saeed R. Alvar, Fatih Kamisli
This paper presents a pixel-by-pixel spatial prediction method for lossless intra coding within High Efficiency Video Coding (HEVC). A well-known previous pixel-by-pixel spatial pr…