Hanan Gani

21 papers A* 3A 2B 2Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 B conf
AgriCLIP: Adapting CLIP for Agriculture and Livestock via Domain-Specialized Cross-Model Alignment.
COLING
Umair Nawaz, Muhammad Awais, Hanan Gani, Muzammal Naseer, Fahad Shahbaz Khan, Salman H. Khan, Rao Muhammad Anwer
2025 J jnl
Aurelia: Test-time Reasoning Distillation in Audio-Visual LLMs.
CoRR
Sanjoy Chowdhury, Hanan Gani, Nishit Anand, Sayan Nag, Ruohan Gao, Mohamed Elhoseiny, Salman Khan, Dinesh Manocha
2025 A conf
Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models.
WACV
Raza Imam, Hanan Gani, Muhammad Huzaifa, Karthik Nandakumar
2025 — conf
VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs.
NAACL (Findings)
Hanan Gani, Rohit Bharadwaj, Muzammal Naseer, Fahad Shahbaz Khan, Salman Khan
2025 A* conf
VideoGLaMM : A Large Multimodal Model for Pixel-Level Visual Grounding in Videos.
CVPR
Shehan Munasinghe, Hanan Gani, Wenqi Zhu, Jiale Cao, Eric P. Xing, Fahad Shahbaz Khan, Salman H. Khan
2025 J jnl
VideoMolmo: Spatio-Temporal Grounding Meets Pointing.
CoRR
Ghazi Shazan Ahmad, Ahmed Heakl, Hanan Gani, Abdelrahman M. Shaker, Zhiqiang Shen, Ranjay Krishna, Fahad Shahbaz Khan, Salman Khan
2024 J jnl
AgriCLIP: Adapting CLIP for Agriculture and Livestock via Domain-Specialized Cross-Model Alignment.
CoRR
Umair Nawaz, Muhammad Awais, Hanan Gani, Muzammal Naseer, Fahad Shahbaz Khan, Salman Khan, Rao Muhammad Anwer
2024 A* conf
LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts.
ICLR
Hanan Gani, Shariq Farooq Bhat, Muzammal Naseer, Salman Khan, Peter Wonka
2024 — conf
MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation.
MICCAI (12)
Hanan Gani, Muzammal Naseer, Fahad Khan, Salman H. Khan
2024 J jnl
MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation.
CoRR
Hanan Gani, Muzammal Naseer, Fahad Khan, Salman Khan
2024 B conf
Multi-Attribute Vision Transformers are Efficient and Robust Learners.
ICIP
Hanan Gani, Nada Saadi, Noor Hussein, Karthik Nandakumar
2024 J jnl
Multi-Attribute Vision Transformers are Efficient and Robust Learners.
CoRR
Hanan Gani, Nada Saadi, Noor Hussein, Karthik Nandakumar
2024 J jnl
Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models.
CoRR
Raza Imam, Hanan Gani, Muhammad Huzaifa, Karthik Nandakumar
2024 J jnl
VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs.
CoRR
Rohit K. Bharadwaj, Hanan Gani, Muzammal Naseer, Fahad Shahbaz Khan, Salman H. Khan
2024 J jnl
VideoGLaMM: A Large Multimodal Model for Pixel-Level Visual Grounding in Videos.
CoRR
Shehan Munasinghe, Hanan Gani, Wenqi Zhu, Jiale Cao, Eric P. Xing, Fahad Shahbaz Khan, Salman Khan
2023 A* conf
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization.
NeurIPS
Jameel Abdul Samadh, Hanan Gani, Noor Hussein, Muhammad Uzair Khattak, Muzammal Naseer, Fahad Shahbaz Khan, Salman H. Khan
2023 J jnl
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization.
CoRR
Jameel Hassan, Hanan Gani, Noor Hussein, Muhammad Uzair Khattak, Muzammal Naseer, Fahad Shahbaz Khan, Salman H. Khan
2023 J jnl
LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts.
CoRR
Hanan Gani, Shariq Farooq Bhat, Muzammal Naseer, Salman H. Khan, Peter Wonka
2022 A conf
How to Train Vision Transformer on Small-scale Datasets?
BMVC
Hanan Gani, Muzammal Naseer, Mohammad Yaqub
2022 J jnl
How to Train Vision Transformer on Small-scale Datasets?
CoRR
Hanan Gani, Muzammal Naseer, Mohammad Yaqub
2018 J jnl
A Supervised Learning Methodology for Real-Time Disguised Face Recognition in the Wild.
CoRR
Saumya Kumaar Saksena, Abhinandan Dogra, Abrar Majeedi, Hanan Gani, Ravi M. Vishwanath, S. N. Omkar
redb/extractors/enum.py
← Index redb/extractors/enum.py python 
from enum import Enum


class Tag(Enum):
    BASIC_PROPERTIES = "basic_properties"
    DIEC = "detect_it_easy"
    CAPA = "capa"
    MALCONTENT = "malcontent"
    DECOMPILED = "decompiled"
    HASH = "hash"
    STRINGS = "strings"
    RELATED = "relatedness" # unused
    PE_FEATURES = "pe_features"
    PE_IMPORT = "pe_import"
    PE_OVERLAY = "pe_overlay"
    PE_SECTION = "pe_section"
    PE_RESOURCE = "pe_resource"
    PE_SIGNATURE = "pe_signature"
    PE_CERTIFICATE = "pe_certificate"
    PE_SIGNER = "pe_signer"
    PE_DOTNET = "pe_dotnet"
    PE_EMBEDDED_EXTRAS = "pe_embedded_extras"
    PE_INCONSISTENCY_TESTS = "pe_inconsistency_tests"
    DOTNET_INCONSISTENCY_TESTS = "dotnet_inconsistency_tests"
    YARA = "yara"
    # Mach-O
    MACHO_FEATURES = "macho_features"
    MACHO_IMPORT = "macho_import"
    MACHO_EXPORT = "macho_export"
    MACHO_DYLIB = "macho_dylib"
    MACHO_SEGMENT = "macho_segment"
    MACHO_SIGNATURE = "macho_signature"
    MACHO_CERTIFICATE = "macho_certificate"
    MACHO_ENTITLEMENT = "macho_entitlement"
    MACHO_UNIVERSAL = "macho_universal"
    MACHO_HASHES = "macho_hashes"
    # ELF
    ELF_FEATURES = "elf_features"
    ELF_IMPORT = "elf_import"
    ELF_EXPORT = "elf_export"
    ELF_SECTION = "elf_section"
    ELF_SEGMENT = "elf_segment"
    ELF_SYMBOL = "elf_symbol"
    ELF_RELOCATION = "elf_relocation"
    ELF_NOTE = "elf_note"
    ELF_DEPENDENCY = "elf_dependency"
    # APK
    APK_FEATURES = "apk_features"
    APK_MANIFEST = "apk_manifest"
    APK_PERMISSIONS = "apk_permissions"
    APK_SIGNATURE = "apk_signature"
    APK_DEX = "apk_dex"
    APK_RESOURCES = "apk_resources"
    APK_NATIVE_LIBS = "apk_native_libs"
    APK_INCONSISTENCY_TESTS = "apk_inconsistency_tests"
    APK_DECOMPILED = "apk_decompiled"
    # JavaScript
    JS_FEATURES = "js_features"
    JS_SUSPICIOUS_APIS = "js_suspicious_apis"
    JS_STRINGS = "js_strings"
    JS_DEOBFUSCATION = "js_deobfuscation"
    JS_CONTENT = "js_content"